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Fractal antennas and arrays: a review and recent developments

Published online by Cambridge University Press:  24 July 2020

Anirban Karmakar*
Affiliation:
Department of Electronics and Communication Engineering, Tripura University (A Central University), Tripura, India
*
Author for correspondence: Anirban Karmakar, E-mail: anirban.ece@gmail.com
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Abstract

In mathematical definition, a fractal is a self-similar subset of Euclidean space whose fractal dimension strictly exceeds its topological dimension which in turn involves a recursive generating methodology that results in contours with infinitely intricate fine structures. Fractal geometry has been used to model complex natural objects such as clouds coastlines, etc., that has space-filling properties. In the past years, several groups of scientists around the globe tried to implement the structure of fractal geometry for applications in the field of electromagnetism, which led to the development of new innovative antenna configurations called “fractal antennas” which is primarily focused in fractal antenna elements, and fractal antenna arrays. It has been demonstrated that by exploiting the recursive nature of fractals, several marvellous kinds of properties can be observed in antennas and arrays. The primary focus of this article is to provide a compressed overview of the developments in fractal-shaped antennas as well as arrays over the last few decades where the most prominent contributions mostly from IEEE journals have been highlighted. The open intention of this review work is to show an encouraging path to antenna researchers for its advancement using fractal geometries.

Information

Type
Antenna Design, Modelling and Measurements
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2020
Figure 0

Fig. 1. Benoit Mandelbrot (Warsaw 1924–Cambridge 2010) considered as the father of Fractal Geometry [Wikipedia].

Figure 1

Fig. 2. Geometry of a Koch snowflake [2] [Wikipedia].

Figure 2

Fig. 3. Sierpinski gasket geometry till 4th iteration (0th, 1st, 2nd, 3rd, and 4th iteration) [2].

Figure 3

Fig. 4. (a) Koch monopole antenna with various iterations. (b) Variation of input resistance and reactance with the frequency of the antenna for different iterations [12].

Figure 4

Fig. 5. Fractal-tree dipole antennas [14].

Figure 5

Fig. 6. (a) Fractal-tree monopole antenna. (b) Measured return loss characteristics [15].

Figure 6

Fig. 7. (a) Perturbed Parany gasket antenna. (b) S11 characteristics compared to a conventional Sierpinski gasket monopole antenna [20].

Figure 7

Fig. 8. (a) A perturbed Sierpinski monopole. (b) Corresponding S11 characteristics [25].

Figure 8

Fig. 9. (a) Modified Sierpinski fractal patch with a slotted ground plane. (b) Simulated and measured S11 characteristics of the antenna with fabricated prototype (ah = 5 mm, aw = 25 mm, s = 8.7 mm, w1 = 1 mm, w2 = 1 mm, l1 = 20 mm, l2 = 28 mm) [27].

Figure 9

Fig. 10. (a) MEMS reconfigurable Sierpinski antenna. (b) Measured return loss characteristics of the proposed antenna [28].

Figure 10

Fig. 11. Simulated and measured S11 characteristics of perturbed Sierpinski gasket monopole [29].

Figure 11

Fig. 12. (a) Numerical and physical model of the antenna [All dimensions are in 'mm']. (b) Simulated and measured S11 characteristics of the antenna [31].

Figure 12

Fig. 13. (a) Antenna geometry (L1 = 695 μm, L2 = 818.3 μm, W1 = 600 μm, W2 = 760 μm, E = 25μm, FW = 60 μm, FG = 10 μm). (b) S11 characteristics of the proposed antenna [33].

Figure 13

Fig. 14. (a) Dimension of the proposed antenna [g = 1 mm, Lg = 184 mm, h = 1.743 mm, Wg = 20.5 mm]. (b) Corresponding S11 characteristics [36].

Figure 14

Fig. 15. (a) Koch curve fractal patch antenna with fabricated prototype in inset [All dimensions in 'mm']. (b) S11 characteristics of the antenna [40].

Figure 15

Fig. 16. (a)Fabricated Spidron fractal slot antenna. (b) Corresponding return loss characteristics. [50].

Figure 16

Fig. 17. Simulated and measured S11 characteristics of the antenna [70].

Figure 17

Fig. 18. (a) Geometry of the proposed antenna. (b) Simulated scattering parameters of the antenna [83].

Figure 18

Fig. 19. (a) Geometry of the proposed antenna. (b) Return loss characteristics of the antenna [93].

Figure 19

Fig. 20. (a) Configuration of the proposed antenna. (b) Return loss characteristics of the antenna [104].

Figure 20

Fig. 21. Simulated and measured return loss of the antenna [117].

Figure 21

Fig. 22. (a) Geometry and dimension of the proposed slot antenna. (b) Measured S11 characteristics at different iterations [118].

Figure 22

Fig. 23. (a) Layout of cross dipole fractal-shaped slot antenna. (b) Simulated and measured S11 characteristics of the proposed antenna [123].

Figure 23

Fig. 24. (a) Configuration of the proposed antenna along with top view and side view [L = W = 50 mm, L0 = 10 mm, W0 = 11 mm, Li = 6 mm, Wi = 8 mm, Sw = 0.3 mm, O = 0 mm ]. (b) Simulated and measured S11 of the fractal DRA [125].

Figure 24

Fig. 25. (a) Simulated and measured S11. (b) E-field distribution at 2.4 and 3.5 GHz [128].

Figure 25

Fig. 26. (a) Simulated S11 characteristics of the proposed antenna. (b) Radiation patterns of the antenna at 12 and 20 GHz [135].

Figure 26

Fig. 27. (a) Fabricated prototype of different iterations of the antenna [Ant I to Ant V]. (b) Simulated and measured S11 characteristics of the antenna [152].

Figure 27

Fig. 28. Simulated and measured VSWR characteristics of the antenna [158].

Figure 28

Fig. 29. Description of the super wideband antenna. (a) Antenna structure. (b) Simulated and measured S11 characteristics [162].

Figure 29

Fig. 30. Description of the antenna characteristics. (a) Antenna structure. (b) Simulated and measured S11 characteristics [165].

Figure 30

Fig. 31. Evolution of the proposed antenna from a basic monopole antenna (M0 = 13.5 mm) [170]. P = 1 P = 2 P = 3.

Figure 31

Fig. 32. Illustration of the growth of different stages of Sierpinski carpet array [179].

Figure 32

Fig. 33. Normalized far-field radiation patterns for (a) stage-2, (b) stage-3, and (c) stage-4 Sierpinski carpet fractal array using array factor expression as in (3) [180].

Figure 33

Fig. 34. Loop antenna [183].

Figure 34

Fig. 35. (a) Sixth stage tetrahedron fractile array. (b) Corresponding array factor plot [186].

Figure 35

Fig. 36. (a) Illustration of the rapid recursive beam forming algorithm for a two generator polyfractal array. (b) Radiation pattern and element layout of a 178-element genetically optimized polyfractal array [188].

Figure 36

Fig. 37. (a) Symmetric Polyadic Cantor set at stage of growth at S = 1,2,3,4 and resulting concentric ring at stage 4. (b) Normalized array factor of the cantor-based ring array (N = 1, γ = 0.4367, a = 56.23λ, and S = 4) [189].

Figure 37

Fig. 38. (a) Example of a stage-1 generating array with perturbed element locations. The solid line denotes the PG curve and the dashed line denotes the initiator curve. (b) Stage-2 and (c) stage-3 arrays. (d) Geometry of a stage-3 Peano–Gosper array and with a contour plot of its normalized radiation pattern [194].

Figure 38

Fig. 39. Antenna array dimension. (a) Side view. (b) Front view [Dimensions are in 'mm'] [198].