volume | PIER Journals

Abstract

A novel hybrid algorithm is proposed for frequency-invariant (FI) beam pattern synthesis of wideband nonuniformly spaced array (NUSA), which combines intelligent optimization algorithm with convex optimization algorithm. The improved grey wolf optimization (IGWO) algorithm is employed to optimize the positions of the array elements, while l_∞-norm is introduced to describe spatial response variation (SRV) for optimizing the finite impulse response (FIR) filter weights of the array. Considering multiple constraints, such as array aperture and minimum spacing between elements, an optimal trade-off among constant beamwidth, FI characteristics, and peak sidelobe level (PSL) is achieved. The effectiveness and advantages of this method are evidenced by synthesis examples of FI beam patterns for wideband NUSA in different application scenarios. These experimental results hold important theoretical significance, and provide valuable references for solving the optimization problem of wideband FI array under multiple constraints.

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Ms. Guihan Xie

Professor Bin Wang

Dr. Kui Tao