Timing jitter values for power-equalized pulses at the input and at the output of the SOA
During the last few years, large-scale efforts towards realizing high-photonic integration densities have put SOAs in the spotlight once again. Hence, the need to develop a complete framework for SOA-induced signal distortion to accurately evaluate a system’s performance has now become evident. To cope with this demand, we present a detailed theoretical and experimental investigation of the deterministic timing jitter and the pulse peak power equalization of SOA-amplified intensity-modulated optical pulses. The deterministic timing jitter model relies on the pulse mean arrival time estimation and its analytic formula reveals an approximate linear relationship between the deterministic timing jitter and the logarithmic values of intensity modulation when the SOA gain recovery time is faster than the pulse period. The theoretical analysis also arrives at an analytic expression for the intensity modulation reduction (IMR), which clearly elucidates the pulse peak power equalization mechanism of SOA. The IMR analysis shows that the output intensity modulation depth is linearly related to the respective input modulation depth of the optical pulses when the gain recovery time is faster than the pulse period. This novel theoretical platform provides a qualitative and quantitative insight into the SOA performance in case of intensity-modulated optical pulses.
- Deterministic timing jitter
- Pulse peak power equalization
- Intensity modulation reduction
- Semiconductor optical amplifier
- Modulation depth index
Semiconductor optical amplifiers (SOAs) have long been the subject of considerable research interest, mainly exploiting their nonlinear properties to provide fast all-optical signal processing , such as high-speed wavelength conversion (WC) [2, 3], bitwise logic operations [4-6], and signal regeneration . The broad-scale efforts towards realizing high photonic integration densities have, however, put the use of SOAs as amplification elements in the spotlight once again, since any alternative integrated amplifier competitor  lags far behind in terms of integration maturity. SOAs currently emerge as the preeminent on-chip amplifier solution and their reintroduction in the toolbox of the optical network designer is now evident in many key network subsystems. As a result, multiple demonstrations of SOAs performing as pure amplifier stages [9, 10] or as ON-OFF gating elements , where amplification occurs in the ON state, have been presented. Their ubiquitous use spans diverse network segments, enabling leading edge applications that extend from metro  to access network environments  and to on-chip or on-board datacom systems .
A concerted research effort on SOA-based devices, spanning the last 20 years, has unraveled most of their underlying amplification secrets, addressing a variety of linear and nonlinear phenomena and their impact on a system’s performance . Pulse-shaped asymmetry owing to SOA saturation effects, for example, has been one of the key findings and has been extensively studied for the past years . However, it was only recently that a novel theoretical analysis correlated this behavior to SOA-induced deterministic timing jitter that optical pulses experience during the amplification process, also suggesting an analytic mathematical formula for its accurate estimation [14, 15]. On the other hand, amplitude modulation phenomena for SOA in-line amplification have been theoretically studied [16, 17] but the pulse peak power equalization properties of SOAs, although experimentally utilized in many cases [18–20], have never been expressed in an analytical form that would allow a straightforward estimation for any case of input signal. So far, the pulse peak power equalization properties of SOAs have been theoretically and experimentally investigated only for the SOA-based interferometric switches . As a result, the proposed theoretical model cannot be applied for single SOA in-line amplification cases, since it relies on cross-phase modulation (XPM) phenomena that take place in SOA-based interferometric devices. Although research efforts have shed plenty of light on the SOA-based amplification process during the last few years, a complete framework for SOA-induced signal distortion in case of intensity-modulated optical pulses, including both deterministic timing jitter and the intensity modulation reduction analysis, is still missing.
In order to fill the current gap in the system’s performance assessment, we present here a holistic theoretical analysis for the SOA-based amplification process along with its experimental verification when intensity-modulated optical pulses are inserted into the amplifier. The aim of this chapter is to provide a systematic methodology on the origin, nature and quantification of SOA-induced deterministic timing jitter and pulse peak power equalization that intensity-modulated optical pulses experience during the amplification process. At first, an analytic formula for the pulse mean arrival time at the SOA exit is derived, providing a comprehensive picture of jitter origin and allowing for reliable estimation of the deterministic jitter induced during the SOA amplification. The theoretical analysis continues with an analytical mathematical expression of intensity modulation reduction induced by SOA amplification. More specifically, the output-versus-input modulation depth of the amplifier is examined for several saturation levels to thoroughly investigate the pulse peak power equalization capabilities of the SOA. The theoretical models are also experimentally verified with the obtained results proving good agreement between theory and experimental observations, in both cases. Moreover, the deterministic timing jitter analysis reveals an approximate linear relationship between jitter values and the logarithm of pulse peak power modulation. Both experimental and theoretical results show that deterministic timing jitter minimization can be achieved by operating the SOA in the strongly saturated region. On the other hand, pulse peak power equalization analysis indicates a linear dependence between the output and input modulation depth indices. In that case, results show that the amplifier yields higher intensity modulation reduction values when it is operated in the saturation regime and for increased SOA gain levels.
In this perspective, the following sections of the chapter have been organized so as to introduce the concept and provide the analytical theoretical framework of the SOA-induced deterministic timing jitter and the pulse peak power equalization properties for intensity-modulated optical pulses, as well as to describe the experimental setup along with the respective results obtained in each case and finally discuss potential extensions of the proposed theoretical models.
2. Concept and theoretical analysis
It is a well-known fact that intensity-modulated optical pulses will experience a pulse-shaped distortion and intensity modulation suppression when propagating through the SOA. The shift of the amplified pulse peak towards its rising edge owes to the higher gain that the leading edge of every incoming pulse experiences compared to the gain received by the trailing edge of the pulse . This “center of gravity” deviation of the exiting optical pulse indicates a subsequent deviation of the mean pulse arrival time at the SOA exit. These systematic signal asymmetries originating from steeper and more gradual pulse edges are the root cause of the deterministic timing jitter depending on input data characteristics. When pulses of unequal peak power arrive at the input of the SOA, each pulse is displaced by a different amount resulting in a mean arrival time deviation at the output. Thus, when intensity-modulated pulses are injected into the SOA, and assuming the pulse period is greater than the SOA-gain recovery time, the different peak power levels will generate different dips in the SOA gain that cause different pulse shifts, leading to varying timing jitter values.
Apart from the peak position deviation of the optical pulses, SOAs can also induce pulse peak power equalization of incoming intensity-modulated optical pulses. This can, in turn, yield in a reduction in intensity modulation of the optical pulses at the SOA output. Assuming, again, that the SOA gain recovery time is faster than the pulse period, the pulse peak power equalization originates from the amplification dissimilarities arising between the low and high pulse peak powers. A high gain is received by the lower peak-powered pulses whereas a lower gain is experienced by the higher peak-powered pulses, resulting in nearly power-equivalent amplified pulses obtained at the SOA exit. As a result, the modulation depth index of the input pulses will always be higher than the respective outputs of the amplifier pointing out an intensity modulation reduction of the exiting optical pulse stream.
The following analysis aims to provide a theoretical insight into the origin of the deterministic timing jitter and elucidate the pulse peak power equalization mechanism during the SOA amplification of intensity-modulated optical pulses. Considering the amplifier as a spatially concentrated device, the instantaneous amplifier gain experienced by each pulse entering the SOA is expressed as [13, 20]:
where represents the SOA steady-state gain and the accumulated injected pulse energy given by:
and the is the well-known saturation energy of the device. To this end, the output pulse exiting the SOA can be calculated as:
by defining as the input pulse power.
2.1. Deterministic timing jitter analysis
Considering Gaussian pulses as input to the SOA, the input pulse power is defined as with peak power denoted as and 1/e pulsewidth equal to . The mean arrival time for every individual pulse is calculated [21, 22] as:
By expanding both in the numerator A and in the denominator B in a first-order Taylor series around the center position of the pulse at , after some algebra, Eq. (4) becomes:
Eq. (7) determines the mean arrival time of every pulse as a function of its peak power, its time duration and of the SOA steady-state gain. In Figure 1, the quantity is illustrated versus a pulse peak power range of 0 mW to 20 mW, for three different SOA gain values and a pulsewidth of 20 ps. As the center of the pulse is assumed to be at , the time shift induced by SOA amplification process will always be leftward. As a consequence, will always be a negative quantity that will continuously decrease until reaching a saturation plateau .
In addition, according to Figure 1, the steepness of the slope of the curve indicated two distinct areas for the based on the peak power: area A, corresponding to the nonsaturated SOA gain regime, where the SOA still responds radically to input peak power resulting in enhanced timing jitter values for the amplified pulses, and area B, where the SOA operates in its strongly saturated gain region. In the last case, the curve of decreases smoothly, mitigating in this way the differences of mean arrival time compared to SOA operation in area A and leading to lower timing jitter values .
The monotonic slope of mean arrival time implies that the lowest and highest values are obtained for the corresponding lowest and highest peak power input pulses . In case the values are within a finite set between minimum and maximum values, the peak-to-peak deterministic timing jitter is determined as the difference between the respective minimum and maximum mean arrival time values , as shown in Eq. (8):
where and .
An interesting conclusion for deterministic timing jitter can be drawn by expressing the peak power in logarithmic instead of linear scale. Figure 2 is a graphical representation of Eq. (7), showing the dependence of on peak power values, when the latter is expressed in dBm. As illustrated, the curved sections for peak power values lower than –5 dBm, and higher than 0 dBm can be very well approximated by second-degree polynomials.
Thus, Eq. (7) can be expanded into a second-order Taylor series around a reference peak power , again expressed in dBm. Moreover, by substituting in Eq. (8), the values of corresponding to the highest and lowest peak power pulses and , respectively, the deterministic timing jitter can now be written as shown in Eq. (9):
where and b Eq. (9) can be further simplified using some straightforward algebra into:
where is the intensity modulation expressed in dB. By selecting the value to be the mid-point between the minimum and maximum peak power level, so that . and , the quantity contained in the brackets becomes zero and the deterministic timing jitter expression turns into:
This formula reveals a linear relationship between deterministic timing jitter and intensity modulation with the linearity factor b provided by Eq. (12).
By plotting Eq. (12) for different pulsewidths and SOA gain levels as shown in Figure 2(b) and in Figure 2(c), respectively, the absolute value of b increases with and for a given value. This indicates that higher jitter values are obtained for higher pulsewidths and higher SOA gains when the same intensity modulation level and the same values are used.
2.2. Pulse peak power equalization analysis
By defining as the bit period, as the average peak power value across the whole control signal sequence, as the modulation frequency and m as the modulation depth index, the peak power of each k-th individual pulse of an intensity-modulated clock pulse sequence entering the SOA is given by . Since multilevel clock puls are considered to enter the SOA as input, the modulation depth index can be determined by their discrete levels. By substituting the intensity-modulated clock pulse sequence in (2), is transformed as follows:
where denotes the pulse waveform. Eq. (1) shows that the gain saturates to a minimum value until the whole pulse energy has passed through the amplifier. However, it is assumed that the gain recovers back to its steady-state value before the next pulse enters the amplifier. As a result, Eq. (1) is valid for the whole bit sequence, allowing in this way for the replacement of the time-dependent integral contained in Eq. (13) with a time-independent constant value that corresponds to the total area contained in the pulse waveform . To this end, the output intensity-modulated clock pulse sequence after using Eq. (1) and Eq. (13) can be expressed as follows:
Eq. (14) depicts that is a function of the SOA gain , the saturation energy and the pulse peak power . By expanding (14) in a first-order Taylor series around the output pulse peak power can be written as the sum of a signal component and an oscillation term at :
where the component is expressed as shown in (16):
and the component as
Finally, the modulation depth index of the output pulse peak power is found to be:
Eq. (19) provides a complete description of the SOA amplifier response to an injected intensity-modulated clock pulse sequence. It shows that the intensity modulation at the output is linearly related to the intensity modulation at the input and that the constant of proportionality depends on the SOA steady-state gain , the average peak power and the saturation energy . In addition, the intensity modulation always decreases at the output of the amplifier. To relate the input and output intensity modulation indices and respectively, we define the Intensity Modulation Reduction (IMR) index as
Given that the intensity modulation depth indices and of the input and the amplified output pulses are in principle the amplitudes of a slow varying frequency component at inducing the power fluctuations on the pulses , Eq. (20) indicates the Intensity Modulation Reduction (IMR) of this frequency component after the SOA amplification process. In specific, the power level at the SOA’s exit will be reduced from its respective power level at the input by an amount equal to the IMR value.
Figure 3 depicts the graphical representation of Eq. (20) for different SOA gains versus quantity. The values of IMR represent a negative quantity since the output modulation depth is always smaller than the respective values at the input. A rapid drop of IMR leading to enhanced intensity modulation suppression is illustrated in Figure 3, when is almost 0.04 and the pulsewidth is equal to 30 ps for all SOA gain levels. Figure 3 shows that when SOA operates in low gain level corresponding to a gain value of 20 dB, a nearly constant IMR of 8 dB is obtained. However, for higher gains, the IMR increases to reach 14 dB for a SOA gain of 31 dB. In addition, the maximum intensity modulation reduction for a SOA gain value equal to 31 dB is achieved when quantity takes values between 0.01 and 0.05, implying that the SOA is capable of suppressing a large power variation at its input. As increases, the IMR curves present a flat form and it is clamped to a constant level irrespective of the inserted pulse energy, after this specific threshold.
3. Experiment and results
The scope of this section is to provide experimental verification of the theoretical analysis for the deterministic timing jitter and the intensity modulation reduction induced by the SOA amplification process. Figure 4 demonstrates the experimental setup that was used for measurements with different pulsewidths and SOA gain levels. It consists of a 1549.2 nm mode-locked laser (TMLL) and a Ti:LiNbO-3 electro-optic modulator (MOD) driven by a 10 Gb/s pattern of alternating “1”s and “0”s, to create clock pulses at 5 GHz, so as to ensure a pulse period greater than the SOA gain recovery time (160 ps 1/e).
In order to create an intensity-modulated pulse sequence, the clock signal is then injected into a second modulator driven by a 625 MHz sinusoidal signal that creates pulses with 8 different pulse peak power levels. The intensity-modulated clock signal is amplified via an erbium doped fiber amplifier (EDFA) in order to compensate the losses and properly adjust the required power levels of optical pulses before their introduction into the SOA. Two fiber spools of 800 m and 1225 m were employed to enable pulsewidth adjustment at 20 ps and 30 ps by exploiting the fiber dispersion. An additional CW beam at 1558.2 nm was utilized to adjust SOA gain level and as such to determine its operational regime. After setting the SOA gain to the desired value, the output pulse train was captured on a real-time oscilloscope with 16 GHz bandwidth and a jitter measurement floor of 300 fs, where the jittery pulses were collected for offline postprocessing. The experimental setup of Figure 4 was also used in order to experimentally verify the IMR graphs shown in Figure 3. By varying the CW signal inserted into the SOA in order to cover a broad operational SOA gain regime, the intensity modulation of the input signal, defined as the highest to the lowest pulse peak power ratio, was measured at the output of the SOA. The operation of the amplifier both in the nonsaturated regime and in the saturated regime was also ensured by properly adjusting the input signal power. By calculating the difference between the initial and the output modulation depth values, the experimental data of IMR for every different SOA gain level was obtained. The control and input signals were adjusted in terms of power and polarization by means of variable optical attenuators (VOA) and polarization controllers (PC). The SOA module was a 1.5-mm-long multiquantum well structure with a small signal gain of 31 dB. The device was driven at 450 mA and the parameter of the SOA was found to be approximately 7 fJ. The jittery pulses that were captured on the real-time oscilloscope at 100 GSa/s for offline postprocessing. The collected optical pulses were reconstructed with a sample time resolution of , after 8-fold upsampling. For each run, the total output timing jitter, referred to as , was calculated over 8192 pulses by means of Eq. (4) . The total output timing jitter referred as consists of noise-induced random jitter and deterministic jitter . The deterministic timing jitter stems from pulse edge variations depending on the input data characteristics. On that account, it is crucial to separate the stochastic contribution of random jitter from the deterministic process that is only responsible for timing variations proportional to the pulses’ intensity modulation. Thus, deterministic jitter is calculated as a peak-to-peak value () between a minimum and a maximum value since a probabilistic distribution cannot be applied. On the contrary, random jitter is determined as the root-mean-square (rms) value of a normal distribution (). By using well-known equations of converting the root-mean-square (rms) to peak-to-peak values [24, 25] the total timing jitter can be finally calculated as the following:
The total timing jitter at the output of the SOA in the absence of pulse peak power variations is uncorrelated to the timing jitter induced from an intensity-modulated pulse sequence . As such, it represents the accumulated random timing jitter of our experimental system:
Based on this assumption, the deterministic timing jitter induced by the SOA amplification process can be calculated by subtracting the random jitter measurement floor from when the input pulse sequence has a given intensity modulation . Table 1 summarizes the timing jitter values for power-equalized pulses when the pulsewidth values are 20 ps and 30 ps and the SOA gains equal to 20 dB and 31 dB, respectively.
|SOA Input||SOA Output|
|Pulsewidth (ps)||Random Jitter (ps)||Gain (dB)||Random Jitter Floor JPPR (ps)|
3.1. Deterministic timing jitter: Theoretical and experimental results
Figure 5(a) and 5(b) show the eyediagrams of a 10 dB intensity-modulated input signal with 20 ps and 30 ps pulsewidths, respectively. Figure 5(c) and 5(d) depict the output eyediagrams for the two pulsewidths when the amplifier operates in the nonsaturated regime. Figure 5(e) and 5(f) illustrate similar results for the two pulsewidths in case the SOA is operated in the strongly saturated gain region. The experimental average peak power values for the eyediagrams obtained in Figure 5 are shown in Table 2. In the eyediagrams of Figure 5(c–f), the deterministic jitter is masked under the contribution of total jitter including the accumulated random jitter of the system as well. The irregular shapes of the output eye diagrams reveal, however, the pulse shape distortion that triggers the deterministic timing jitter.
|SOA Gain||20 dB|
|20 ps||30 μW||1.85 mW|
|30 ps||34 μW||1.23 mW|
Figure 5(g–j) depicts the experimental and theoretical results of the deterministic timing jitter versus input signal intensity modulation expressed in dB, for different gain levels, saturation regimes of the SOA and pulsewidths.
According to Eq. (11), the theoretical deterministic timing jitter depends linearly on intensity modulation levels. On that account, a linear fit was applied to the experimental data revealing good agreement between theoretical and experimental results obtained in all cases . Figure 5(g) and (h) show theoretical deterministic timing jitter results obtained by applying Eq. (7) into Eq. (8), as well as the experimental data with their linear fit for 30 ps pulsewidth and 31 dB SOA gain level. The average pulse peak power values used in this case were 11 μW and 235 μW for unsaturated and saturated SOA operations, respectively. The graphs reveal a reduction of deterministic timing jitter in excess of 25% for the case of the SOA saturated operational regime. Figure 5(i) illustrates deterministic timing jitter evolution versus intensity modulation levels for 20 dB SOA gain using an average pulse peak power value of 34 μW. When compared with Figure 5(g), a decrease of the deterministic timing jitter values with the SOA gain level is evident. Finally, Figure 5(i) and 5(j) depict the deterministic timing jitter results for 30 ps and 20 ps pulsewidths, respectively, when all other operating parameters are the same, confirming that shorter pulses generate lower deterministic timing jitter levels [30 W average pulse peak power values for Fig. 5(j)]. In all cases, good qualitative and quantitative agreement between experiment and theory was achieved retaining the same deterministic timing jitter trend.
3.2. Intensity modulation reduction: Theoretical and experimental results
Figure 6 depicts the theoretical and experimental results for the output versus the input modulation depth indices and the versus the input pulse energy of optical pulses inserted in the SOA. The theoretical curves are denoted by solid lines, and the experimental observations by bullets. A linear fit was also applied to the experimental data in Figure 6(a), 6(b) and 6(d), due to the linear nature of the IMR indicated by Eq. (19) and it is represented by a dashed line. As can be noticed in Figure 6(a) and 6(b), the output modulation depth index depends linearly on the input modulation depth index when the SOA gain levels equal to 20 dB and 28 dB, respectively. In both cases, the amplifier operates in the nonsaturated region with the values reaching up to 5 fJ and 0.5 fJ, respectively. Figure 6(c) demonstrates the ratio versus the input pulse energy for SOA gain levels of 20 dB, 28 dB and 31 dB. As the gain level rises from 20 dB to 31 dB, the steepness of the slope increases and the curve shifts closer to the axis. In the case of gain equal to 31 dB, both unsaturated and saturated SOA experimental observations are shown in Figure 6(d) revealing higher intensity modulation reduction for strongly saturated SOA with the reaching 2 fJ. Figure 6(d) presents in detail the output versus the input modulation indices for the two operational SOA regimes for 31 dB gain level. The value is directly associated to the SOA operational regime and imposes the slope of the versus curve resulting in low or high variation between input and output modulation depth that in turn yields low- or high-intensity modulation reduction values. It can be observed that the slope of the curve is smaller in the case of a saturated SOA corresponding to equal to 2 fJ in comparison with the unsaturated SOA referring to a value equal to 0.2 fJ.
Comparison between dashed and solid lines in Figure 6(a–d) shows good agreement between theory and experiment and indicates the SOA potential to provide increased pulse peak power equalization at its output, when operating the amplifier in the saturation regime.
The theoretical framework and its experimental verification for both deterministic timing jitter and intensity modulation reduction analysis have relied on the assumption that every pulse experiences the same initial steady-state gain. This assumption allowed for the treatment of the pulse sequence on a per pulse basis and for the use of clock pulses for its experimental validation. However, the theoretical analysis presented here can also be extended towards calculating both these phenomena, in the case of random data patterns with intensity-modulated pulses used as the input signal in SOAs.
In the case of deterministic timing jitter, when the SOA gain recovery time is faster than the bit period, all the incoming data pulses will again experience the same steady-state gain inside the amplifier. This condition allows Eq. (7) of the mean arrival time to be valid. But even if the SOA gain recovery time is slower than the bit period, Eq. (7) can be exploited for calculating the mean arrival time of the data pulses and, subsequently, the deterministic timing jitter. In this case, the use of a random incoming data pattern into the SOA will actually result in different gain levels experienced by every individual optical pulse. On that account, should then be treated as an additional variable in Eq. (7) with its values residing within a certain range . This actually turns relationship (7) into a two-variable function, assuming a given pulsewidth and a constant parameter .
According to Figure 1, the same pulse peak power level results in a lower absolute value for the pulse mean arrival time when a lower gain value is perceived by the pulse. In Figure 1, for example, the absolute value of for a gain of 20 dB is always lower than the respective value for a SOA gain of 28 dB, which in turn is always lower than the respective value for a 30 dB SOA gain. This indicates that the deterministic jitter in case of different gain levels perceived by every pulse, as will be the case with random incoming data patterns and gain recovery times slower than the bit period, will be always slightly higher compared to the deterministic jitter values induced by the same pulse sequence when the SOA gain recovery time is faster than the bit period. For example, when the incoming data pulse with the lowest peak power level enters the amplifier after a long sequence of “1”s, it experiences the lowest SOA gain among all data pulses yielding, in this way, the lowest absolute value for its mean arrival time at the SOA output. At the same time, the highest data pulse comes after a long sequence of “0”s, so that it actually experiences the full gain of the amplifier, resulting in the highest absolute value among all data pulses for its mean arrival time . This scenario can certainly occur when a truly random data pattern with an intensity modulation that follows a certain statistical distribution will be injected into the SOA . To this end, Eq. (7) indicates that higher deterministic timing jitter values should be expected in this case.
Following the same rationale, Eq. (19) of the modulation depth index of the output pulse peak power can also turn into a two-variable function (, ) for a certain pulse waveform A and a constant parameter. In this way, it enables its utilization in cases of random data pattern when the SOA gain recovery time is greater than the bit period. Again, the worst-case scenario in terms of the intensity modulation level of the output pulses will take place when the pulses with the smallest peak power level follow a long sequence of "1"s and the pulses with the highest peak power level come after a long sequence of "0"s. The smallest pulses will experience the lowest gain while the highest pulses will perceive the full gain of the amplifier resulting in a less optimal peak power equalization compared to the respective case where the SOA gain recovers, and all pulses receive the same steady-state gain . In such a traffic scenario, the random data pattern will limit the power equalization dynamics of the SOA, since the bit randomness will affect its ability to provide the same gain to every pulse and will lead to varying gain values that will be imprinted on the amplified optical pulses.
Research interest in semiconductor optical amplifiers (SOAs) has been lately renewed since SOAs appear as the most preferable on-chip amplifier option in many key network subsystems. Although a concerted research effort on SOA-based devices spanning the last 20 years, has revealed most of their underlying amplification secrets, SOA effects on intensity-modulated optical pulses in terms of timing jitter and pulse peak power equalization have not yet been consolidated in a detailed analytical framework. On that account, we have presented in this chapter, a holistic theoretical framework verified by experimental results that establishes for the first time a systematic methodology for the deterministic timing jitter and peak power equalization estimation in case of intensity-modulated optical pulses entering the SOA. Experimental and theoretical results reveal a linear relationship between deterministic timing jitter and intensity modulation levels when the SOA gain recovery time is shorter than the bit period. The pulse mean arrival time is calculated as a function of the pulse peak power, the pulsewidth and the SOA steady-state gain. In addition, pulse peak power equalization analysis shows that intensity modulation at output is linearly related to the intensity modulation at the input and the constant of proportionality depends on the SOA steady-state gain , the pulse peak power and the saturation energy . Both deterministic timing jitter and intensity modulation reduction formulas derived in the proposed theoretical analysis, enable a qualitative and quantitative insight into the SOA performance when intensity-modulated optical pulses are inserted into the amplifier.
This work has been supported in part by the European Commission through FP7-ICT-IP project PhoxTrot (contract no. 318240) and FP7 MC-IAPP project COMANDER (contract no. 612257).