A General Efficient Design Method for Optimum Nonuniform Array Pattern Synthesis

This paper focuses on the research of a general optimization framework applying to the placement of both two types of nonuniform arrays, thinned array (TA) and sparse array (SA). We introduce the optimization problems that aim to minimize array factor (AF) peak sidelobe level (PSLL), also involving a number of practical constraints. To tackle the resultant non-convex optimization problems, we propose a modified iterative coordinate descent (MICD) method to split original problems into multiple independent one-dimensional subproblems. In each iteration, the redundant calculation is removed to improve the efficiency of the algorithm. Finally, numerical simulations are provided to verify the effectiveness of the proposed method.