Joint optimization of FDA-MIMO antenna selection and frequency offset to maximize SINR

Abstract

The structured sparse multiple-input multiple-output frequency diverse array (FDA-MIMO) radar has range, angle estimation, and resolution advantages. However, the structured sparse array is not the optimal array structure with the max output signal-to-interference-noise ratio (SINR). In order to obtain the optimal FDA-MIMO structure, this paper maximizes the output SINR of the array by optimizing the array antenna selection and frequency offset. Because there is a coupling relationship between frequency offset and array antenna selection, and it is difficult to optimize them simultaneously, we divide the problem into two subproblems. According to the spatial separation coefficient (SCC), we propose the array antenna selection method using the angle of target and interference subspace and the frequency offset optimization approach using the constant modulus beamforming idea and particle swarm optimization algorithm. Then we join the two approaches to conduct alternate iterative optimization. By comparing the optimum FDA-MIMO with other structures of FDA-MIMO, we confirm the effectiveness and superiority of the optimum FDA-MIMO.