UNIMODULAR SEQUENCE SET DESIGN WITH LOW WEIGHTED CORRELATION PROPERTIES

In radar systems, there is a demand for the unimodular sequence set that exhibit excellent weighted correlation properties. In this paper, we propose an effective algorithm based on the memetic algorithm to minimize the weighted integrated sidelobe level (WISL) of the unimodular sequence set. The proposed algorithm takes evolutionary algorithm as the global search algorithm and majorization-minimization algorithm as the local refinement algorithm to design the unimodular sequence set. Compared to the previously proposed algorithms, this algorithm explores the solution space and improves solution accuracy more efficiently, leading to the attainment of the unimodular sequence set with significantly improved weighted correlation properties. Simulation results verify the performance of the proposed algorithm, which demonstrates that the proposed algorithm can generate the unimodular sequence set with much better weighted correlation properties compared with existing algorithms. In addition, the influence of key parameters on the performance of the proposed algorithm is investigated.