Design of non-uniform concentric circular antenna arrays with optimal sidelobe level reduction using biogeography-based optimization

Abstract

Design of non-uniform concentric circular antenna arrays with optimal sidelobe level reduction using biogeography-based optimization nihad dib 1 and ashraf sharaqa 2This paper presents the design of non-uniform concentric circular antenna arrays (CCAAs) of isotropic radiators with optimum sidelobe level (SLL) reduction. The biogeography-based optimization (BBO) method is used to determine an optimum set of excitation amplitudes that provide a radiation pattern with optimum SLL reduction with the constraint of a fixed major lobe beamwidth. The BBO method represents a new global evolutionary algorithm for optimization problems in electromagnetics. It is shown that the BBO results provide an SLL reduction that is comparable to that obtained using wellknown algorithms, such as the particle swarm optimization (PSO), genetic algorithm (GA), and evolutionary programming (EP). Moreover, BBO results are compared with those obtained using the Matlab function Fmincon which uses a sequential quadratic programming (SQP) method. The comparison shows that the design of non-uniformly excited CCAAs using the SQP method provides a SLL reduction that is better than that obtained using global stochastic optimization methods, indicating that global optimization techniques might not really be needed in this problem.

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

“…The CCAA has extensive applications in radio systems like direction finding, radar, RF transmission, navigation and underground propagation, etc. A lot of research on CCAA synthesis has been reported in previous studies . A number of heuristic search algorithms like cat swarm optimization (CSO), biogeography‐based optimization (BBO), firefly algorithm (FA), symbiotic organism search (SOS), moth‐flame optimization (MFO) have been employed for the design of CCAA.…”

“…A lot of research on CCAA synthesis has been reported in previous studies . A number of heuristic search algorithms like cat swarm optimization (CSO), biogeography‐based optimization (BBO), firefly algorithm (FA), symbiotic organism search (SOS), moth‐flame optimization (MFO) have been employed for the design of CCAA. Various heuristic search evolutionary algorithm techniques are also used in the different fields of engineering and system modeling for the solution of complex, nonlinear, irregular, and nondifferentiable optimization problems …”

Spectrum allocation in cognitive radio networks using chaotic biogeography‐based optimisation

“…A performance comparison of different migration models is given in [52,53]. Additionally, the application of BBO to real-world engineering problems (including problems in wireless communications [25,28,[54][55][56][57][58]) is also a growing trend.…”

Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art

“…The search in the Scopus database yielded 654 papers that refer to BBO from 2007 to May 2016 with 40 papers that use BBO for antenna design from 2009 till today. BBO has been applied to Yagi-Uda design [110] and array synthesis [111][112][113][114][115][116][117]. Additionally a hybrid DE/BBO algorithm has been used for the design of a reconfigurable antenna array with discrete phase shifters in [118].…”