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In this chapter, ASCCC fractal is defined. The name “ASCCC” is based on the process that the fractal is built. It is made by adding and subtracting circles to the circumference of a circle. Then the necessary formulas to build up the first and higher orders of ASCCC fractal are derived. By calculating the perimeter of each order, it is shown that the ASCCC fractal has a great capability in antenna miniaturization. Based on first-order ASCCC fractal, a systematic approach is designed to miniaturize an antipodal dipole at any arbitrary frequency. Then the proposed method is applied at band LTE13 (746–787 MHz), which is controversy for mobile antenna, because it causes the size of a common antenna to become very large for a handheld mobile. It is illustrated that not only the ASCCC fractal is successful in miniaturization of dipole antenna, but also it is very good at improving the antenna’s efficiency in comparison with its counterparts like Koch dipole/monopole.
antipodal dipole antenna
chapter and author info
Imam Khomeini International University, Qazvin, Iran
Imam Khomeini International University, Qazvin, Iran
University of Sistan and Baluchestan, Zahedan, Iran
Imam Khomeini International University, Qazvin, Iran
*Address all correspondence to: email@example.com
Nowadays, there is demand for antennas which fit in small space while have good radiation performance. Therefore, miniaturization techniques are inevitable in antenna design. Most of miniaturization techniques are based on slot loading, lumped loading, material loading, meandering, using fractal shapes or meta‐materials. Generally, these techniques cause radiation efficiency and bandwidth to reduce. The antenna performance can be improved if the available volume within the Chu’s sphere is used effectively. Fractal, meander and volumetric antennas are based on this method . However, volumetric antennas are not suitable for planar structures. The meander antennas  and some fractal antennas such as Hilbert  and Koch dipole/monopole [3, 4] have some sections of cancelling current from adjacent conductors that cause the efficiency not to improve significantly. Furthermore, the resonance frequency cannot be found analytically because the physical length is not equivalent with electrical length [1, 2].
In this chapter, a novel fractal named adding and subtracting circles to the circumference of a circle (ASCCC) is defined and the required formulas are derived to build it. The ASCCC fractal is made by adding and subtracting an even number of circles on circumference of a circle, in brief named as adding and subtracting circles to the circumference of a circle (ASCCC). Then, a procedure is shown to miniaturize an antipodal dipole based on first order of ASCCC fractal at any arbitrary frequency. A formula is extracted to determine the resonance frequency of the ASCCC dipole with excellent precision. The proposed procedure is used to design a mobile antenna at challenging band of LTE13 (746–787 MHz). Because of low frequency nature of LTE13, the in‐building penetration and area coverage are very good . On the other hand, the size of antenna becomes so large at LTE13 that it is not suitable for a handheld mobile . Therefore, some miniaturization techniques should be applied to the design. One of the great advantages of ASCCC dipole antenna is using the Chu’s sphere so effectively that the antenna’s efficiency improves considerably in addition to antenna miniaturization. Actually, the currents in adjacent teeth of ASCCC fractal dipole do not weaken the effect of each other, so very good efficiency is obtained. This advantage also makes the physical length to be approximately equal with electrical length.
The design is simulated by full‐wave software (Ansoft‐HFSS version 15). The results of simulation and measurement are in very good agreement. The efficiency of the proposed dipole antenna is higher than the existing works at LTE13 for handheld mobile antenna [8–25]. Also, the design obtains 40% size reduction compared with a common dipole. Furthermore, the ASCCC design has advantages of being planar and vialess .
In Section 2, the ASCCC fractal is explained. Then in Section 3, a procedure is shown to use ASCCC fractal in arms of an antipodal dipole. Theoretically, how to design an ASCCC dipole antenna for a special band is discussed. Next, a mobile antenna is designed, simulated and measured at LTE13. Finally, the conclusion is presented in Section 4.
ASCCC fractal is based on adding and subtracting an even number of circles alternately on circumference of an initial circle. In brief, it is named as adding and subtracting circles to the circumference of a circle (ASCCC). It should be noted that radius of secondary circles (R2) must be smaller than the radius of initial circles (R1). To make ASCCC fractal clear, firstly consider a circle with radius R1 as shown in Figure 1(a). Then, arbitrary even numbers of circles (n1) with radius R2 (R2 < R1) are placed to the circumference of Figure 1(a) such that their centres are on the initial circle and two adjacent circles have two common points that one of them is on the circumference of initial circle and the other one is inside of it. These conditions lead n1 to be at least 4 (for n1 = 2, two adjacent circles have two common points but both of them are on the circumference of initial circle and R2 > R1) and secondary circles cover whole circumference of the initial circle. For example, Figure 1(b) shows 20 secondary circles that have been placed on an initial circle with R1 = 21 m. Figure 1(c) illustrates how secondary circles are added and subtracted alternately. The radius of the secondary circles (R2) is calculated as follows. Firstly, it is supposed that each secondary circle occupies 2θangle on the initial circle as in Figure 2(a). Two radiuses of R1 and one radius of R2 can make an isosceles triangle with a θvertex angle as in Figure 2(b). Then, its two leg length and base length are equal to R1 and R2, respectively. R2 is determined by a trigonometric relationship as in Eq. (1) with respect to Figure 2(c). It should be noted that the value of θis known because 2θis related to n1 as in Eq. (2). If Eq. (2) is substituted in Eq. (1) and some simplifications are done, the R2 can be written as in Eq. (3).
Perimeter of the first‐order ASCCC (P1) is equal to perimeter of full circle with radius R2. So, it is determined by Eq. (4). To understand clearly Eq. (4), firstly consider two adjacent circles shown in Figure 1(b). One of them is supposed to be added (united) and another one is subtracted from the initial circle. Therefore, the effect of these two adjacent circles on the perimeter of Figure 1(c) is equal to the circumference of one full circle with radius R2. Since the total number of secondary circles is n1, the total perimeter of Figure 1(c) is equal to .
For calculating the perimeter of the second‐order ASCCC fractal (P2), as it is made of full‐circle that each has n2/2 full‐circles with radius R3; therefore, its perimeter is equal to the perimeter of a total number of full‐circle with radius R3 as in Eq. (5).
Eqs. (6) and (7) show the ratio of P1 and P2 to the perimeter of initial circle (P0), respectively. If n1 and n2 have large values, sine function could be approximated by its argument. Then, Eqs. (6) and (7) can be written as (π/2) and, respectively. Therefore, the perimeter of ASCCC fractal can be multiplied by (π/2) in each order.
Now, it is time to compare P1 (the perimeter of the first‐order ASCCC with initial (R1) and secondary (R2) radiuses) to the circumference C1 of a common circle with radius R1 + R2 that occupies the same space on a board. Eq. (8) shows the ratio of P1 to C1. Eq. (9) presents the solutions of Eq. (8) for different n1. When the argument of sine is much smaller than unity, the sine can be approximated to its argument. Therefore, approximation sin (π/2n1) ≈ π/2n1 is used for n11≥ 10. As it is seen, the ratio [Eq. (9)] is greater than one for n1 ≥ 6, so P1 is larger than C1. Therefore, if a way is found to force the current to travel the perimeter P1, antenna miniaturization is obtained for n1 ≥ 6 .
3. An application of ASCCC fractal in antenna miniaturization
In this section, it is shown that an antipodal dipole antenna is miniaturized by applying the first‐order ASCCC fractal to arms of the dipole antenna. The procedure could be applied to any arbitrary frequency .
3.1. The proposed design
In this section, it is shown that an antipodal dipole antenna is miniaturized by applying the first‐order ASCCC fractal to arms of the dipole antenna. Figure 5(a)–(d) presents the utilized method. In the first step, two first‐order ASCCC fractals with the same n1 but different R1 are designed (Figure 5(a)). To distinguish R1 of fractals, R1i is chosen for inner fractal and R1o for outer fractal. In the next step, the inner fractal is subtracted from the outer fractal as shown in Figure 5(b). Then, the shape is split into two equal halves as shown in Figure 5(c). Finally, each half is employed as an arm in a balanced antipodal dipole as illustrated in Figure 5(d). The first resonance of the proposed dipole is calculated by Eq. (10). In Eq. (10), cis the speed of light and λis the resonance wavelength.
In a common dipole antenna, the length in which current travels along the two arms is equal to λ/2 of the first resonance wavelength. In calculation of λ/2, it should be noted that current tends to travel the shortest path. In Figure 5(d), the current is confined to area between inner and outer fractals. The perimeter of inner fractal is shorter than the perimeter of outer one. Therefore, the inner fractal perimeter is more likely to be tracked. To be sure that current does not find any shorter path than the inner perimeter, R1o should be chosen as close to R1i as possible. As a result, the current travelling length is approximately equal to the inner fractal perimeter that is determined by using Eq. (4). Then, the resonance frequency could be written as in Eq. (11). In Eq. (11), P1i is the perimeter of inner fractal in Figure 5(d).
To design a balanced feedline, the method described in Refs.  and  is used. The line parameters are given in Figure 6. The exponential part of line is made by Eqs. (12) and (13). Wcps is equal to (R1o + R2o) – (R1i + R2i). Lexp, Lm, Wgnd and pare arbitrary parameters that are chosen with respect to a good S11 result.
3.2. Simulation and measurement results
The method described in Section 3.1 is used to design a handset mobile antenna at the LTE13 band (746–787 MHz). The antenna is printed on an FR4 substrate with εr = 4.4 and tan δ= 0.02. Firstly, an initial resonance frequency within band LTE13 should be picked out to determine λ/2 by Eq. (10). As the length λ/2 is approximately equal to the perimeter of inner ASCCC, as shown in Figure 5(a), so R1i is determined by Eq. (4). To stay in safe side, a frequency of 750 MHz is picked out for the initial design because a good S11 in lower frequencies needs longer length in arms while preparing longer length is harder to obtain. Please note that the value of n1 is arbitrary. The larger n1 results in the smaller R2i, so a more compact design is obtained. In the simulations, feedline parameters have been chosen as: Lm = 5 mm, Lexp = 25 mm, Wgnd = 20 mm, Wms = 3.04 mm and p= 150.
R1i = 20.28 mm is found for n1 = 20 at 750 MHz. To determine a value for R1o, some simulations are done for different R1o radiuses (R1o = 23, 24.5 and 26 mm). The simulated S11 results are shown in Figure 7. As seen, a smaller R1o makes a better confinement of current to the inner fractal perimeter; therefore, the resonance frequency is closer to the initial design. On the other hand, a bigger R1o results in better S11 and wider bandwidth because of a larger radiating area. However, R1o = 23 mm cannot be chosen. Although resonance frequency is closer to the initial design, the whole band of LTE13 cannot be covered. The problem could be tackled as follows. If a bigger R1i is chosen, the resonance frequency is lowered, so more freedom is prepared to pick out larger values for R1o that could somehow compensate for lowering of frequency while enough bandwidth and good S11 are obtained at the LTE13 band. By a little try and error, it is found the whole LTE13 band could be covered with good S11 for R1i = 20.5 mm and R1o = 25.5 mm. As it is seen, the selected R1i is so close to the initial design (R1i = 20.28 mm) and the proposed formulas prepare very good primary guess.
A fabricated prototype of the proposed antenna is shown in Figure 8. The overall size of the printed antenna is 62 × 115 × 1.6 mm3 that is suitable for a handheld mobile. The simulated and measured results of S11 are presented in Figure 9. It is seen that there is very good agreement between them. The small resonance at 1.045 GHz is due to the type of feedline.
Figures 10 and 11 present the 3‐D and polar radiation patterns of the proposed antenna at 769 MHz, respectively. As they show, the antenna has a dipolar radiation pattern. Figure 12 shows the efficiency of antenna. The measured efficiency is obtained by the improved Wheeler‐cap method . Antenna efficiency varies from 79.28 to 88.01%. As it is seen, the antenna has very high efficiency at LTE13, on the contrary of the other designs for this band that are listed in Table 1 [8–25].
means the radiation efficiency has been reported in the reference.
Finally, the antenna exhibits 40% size reduction in comparison with a common dipole. This is evidence that the proposed procedure is a good technique in antenna miniaturization .
In this chapter, ASCCC fractal is defined and its driving formulas are extracted. It is shown that ASCCC fractal has a great potential in antenna miniaturization and improving efficiency. A miniaturization method was designed for a dipole antenna at any arbitrary frequency. Then, the method applied to the dipole antenna at band LTE13 which is very challenging for reduction in size of mobile antennas. The total size of antenna is 62 × 115 × 1.6 mm3, which is appropriate for handheld mobiles. The efficiency of antenna is greater than 79% with S11 better than –10 dB. The amount of efficiency is considerably higher than existing works.
Zeinab Eskandari, Asghar Keshtkar, Javad Ahmadi‐Shokouh and Leila Ghanbari (June 14th 2017). ASCCC Fractal and Its Application in Antenna Miniaturization, Fractal Analysis - Applications in Physics, Engineering and Technology, Fernando Brambila, IntechOpen, DOI: 10.5772/intechopen.68431. Available from:
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