Two-Way Pattern Synthesis of Mimo Radar With Sidelobe Reduction and Null Control via Improved Whale Optimization Algorithm

Abstract

This paper proposes an improvement to the whale optimization algorithm (WOA), which is based on the Levy flight technique. The improvement allows improved whale optimization algorithm (IWOA) to have a good diversity of population, faster convergence and overcome premature. The test by using different benchmark functions is conducted to demonstrate the effectiveness of improvement on the algorithm performance. Finally, IWO algorithm is applied to optimize the problems of two-way pattern of MIMO radar system, involving the achievements of sidelobe reduction, deep null, and wide null at the prescribed directions. The obtained numerical results demonstrate that IWOA can not only efficiently fulfill the expected deep nulls and wide nulls at the prescribed directions, but also enable the peak sidelobe level to retain in the smaller level at the same time than several state-of-the-art algorithms.

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

“…The WOA [35] has also been employed recently in various optimization problems of antenna design. The optimization problem of sidelobe suppression has been addressed in [64][65][66][67][68]. In detail, Yuan et al [64] applied the WOA to the synthesis of a sparse antenna array.…”

“…From their presented results, the superiority of the WOA to suppress the pSLL combined with NDL is revealed, compared to other state-of-the-art algorithms. An improved WOA has been proposed in [67]. The authors applied the proposed algorithm to optimize the pattern of the MIMO radar system.…”