An optimization technique utilizing genetic algorithm for the synthesis of large thinned planar antenna array with low peak side lobe level

Suman, Kundan Kumar; Ashwin, Peter; Miranda, Allen V.; Gangwar, V. S.; Gangwar, Ravi Kumar

doi:10.1109/icmap.2018.8354566

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…Moreover, the details of these test functions can be found in reference 38. Moreover, PSO, 39,40 BBO, 41 CSO, 42 FA, 43 GA 44 and conventional CS are selected as the comparison algorithms and the main parameters of each algorithm are listed in Table 2. Moreover, the population size of each comparison algorithm, the number of iterations and the dimension of each test function are set as 100, 1000, and 30, respectively.…”

Section: Performance Analysis Of Icsrliwomentioning

confidence: 99%

An improved cuckoo search with reverse learning and invasive weed operators for suppressing sidelobe level of antenna arrays

Lin

Wang

Zhang

et al. 2020

Int J Numerical Modelling

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In order to overcome some shortcomings including the premature convergence and slow convergence speed at later evolution stage of conventional cuckoo search (CS) algorithm for the sidelobe suppressions of antenna arrays, an improved CS with reverse learning and invasive weed operators (ICSRLIWO) is proposed. First, ICSRLIWO algorithm generates reverse populations through opposition‐based learning method, then selects better individuals in the mixed population consists of the original and reversed population to form a high‐quality initial population. Second, ICSRLIWO introduces the reproducing, space diffusion and survival competition operators of invasive weed optimization to improve the population diversity and global search ability of conventional CS algorithm. Simulations are conducted based on 30 test functions in the CEC 2014 test suit to verify the performance of the proposed approach, and the results show that ICSRLIWO has higher solution accuracy and faster convergence speed than other comparison algorithms. In addition, ICSRLIWO also has advantages in solving the array antenna beam pattern optimization problems.

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Section: Performance Analysis Of Icsrliwomentioning

confidence: 99%

An improved cuckoo search with reverse learning and invasive weed operators for suppressing sidelobe level of antenna arrays

Lin

Wang

Zhang

et al. 2020

Int J Numerical Modelling

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“…The thinning concept is extended on planar configuration [11,[14][15][16]. The planar periodic array of uniform spacing with the constraint of maximum side lobe is described.…”

Section: Planar Array Thinningmentioning

confidence: 99%

Optimal Synthesis of Thinned Arrays Utilizing Fast Fourier Transform Technique

Vani¹,

Subhashini²

2018

PIER M

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This piece of work replicates on the antenna array thinning exploring the benefits of known Fourier Analysis. In this communication Fourier transform is applied to the synthesis of periodic arrays for minimizing the Peak Side Lobe (PSL) level and thereby enhancing the directivity. Furthermore, the concept of Fill Factor (degree of thinning), i.e., reduction in the number of active elements is experimented for the above said objective. The proposed methodology is worked out on periodic linear and planar arrays. Numerical study and simulation results are composed with array thinning designs from literature. The analysis demonstrates the superiority of the illustrated Fourier technique.

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“…To alleviate the huge number of elements at large scales and as well as the large peak Side-Lobe Level (SLL), a thinning operation can be employed to switch off certain antenna elements on purpose. An added advantage to the thinning process is its ability to make the antenna array more cost effective, while providing minor trade off in beam width and directivity in comparison with fully filled arrays [27]. Several optimization algorithms were investigated for synthesizing thinned linear and planar arrays.…”

Section: Introductionmentioning

confidence: 99%

“…Several optimization algorithms were investigated for synthesizing thinned linear and planar arrays. Among which, the Particle Swarm Optimization (PSO) [28,29], Genetic Algorithm (GA) [27,30,31], Simulated Annealing (SA) [32,33], Ant Colony Optimization (ACO) [34], and Boolean Differential Evolution Algorithm (BDE) [35] were used. In [36], the binary GA technique was employed to optimize the excitations of the outer elements of planar antenna array and to reduce the number of active elements while preserving the desired radiation characteristics.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Wideband Thinned Eisenstein Fractile Antenna Arrays With Adaptive Beamforming Capability and Reduced Side-Lobes

2022

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A modern design of fractal antenna arrays, called fractile array, which exhibits a fractal boundary contour within a tiled plane, is explored for enhanced array performance. In this paper, the Eisenstein fractile array is introduced to exploit the unique geometrical features of fractiles that allow multiband and wideband operation and avoid grating lobes in the radiation pattern even, in some cases, when the array elements' spacing is greater than the half wavelength. To alleviate the large number of elements and the high Side-Lobe Level (SLL) occurred at large scales, the Genetic Algorithm (GA) optimization technique is considered for thinning the proposed antenna array by estimating the optimal set of "on" and "off" elements corresponding to the minimum SLL without degrading the directivity of the radiation pattern. Also, the proposed array configuration is designed with adaptive beamforming capability using the Least Mean Square (LMS) technique. The effectiveness of the proposed GA-LMS approach is investigated by performing several MATLAB simulations under various set of array configurations. Results reveal that the suggested thinned Eisenstein fractile antenna array using GA-LMS approach is superior in terms of multiband and wideband performance, array element reduction, SLL reduction, grating lobe elimination, and beamforming capability. This elucidates the robustness of the suggested thinned Eisenstein fractile array as a promising design for multiband, wideband, compact, inexpensive, and adaptive smart antennas in modern wireless systems.

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An optimization technique utilizing genetic algorithm for the synthesis of large thinned planar antenna array with low peak side lobe level

Cited by 6 publications

References 8 publications

An improved cuckoo search with reverse learning and invasive weed operators for suppressing sidelobe level of antenna arrays

An improved cuckoo search with reverse learning and invasive weed operators for suppressing sidelobe level of antenna arrays

Optimal Synthesis of Thinned Arrays Utilizing Fast Fourier Transform Technique

Synthesis of Wideband Thinned Eisenstein Fractile Antenna Arrays With Adaptive Beamforming Capability and Reduced Side-Lobes

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