A Joint Array Parameters Design Method Based on FDA-MIMO Radar

Frequency diverse array (FDA)-multiple-input and multiple-output (MIMO) radar is characterized by a range-angle-dependent beampattern owing to extra frequency offset across the transmit array elements. In this article, the ideal beamforming performance can be obtained by designing the transmit and receive array parameters. On this basis, this article aims to design the ideal beampattern for FDA-MIMO radar by introducing a joint array parameters optimization design method including receive filter (RF) and transmit frequency offset-receive element spacing (TFO-RS). The cyclic iteration is introduced, and this joint optimization method is divided into three subproblems, including RF, TFO, and RS design. As for the TFO and RS design subproblems, function scaling is applied to transform the objection function to the quadratic form. Furthermore, the quadratic programming optimization problem with linear constraints can be constructed. The simulation results show that the proposed optimization design method can improve the ability of FDA-MIMO radar to detect multiple targets at the same time compared with the given conventional TFO and RS schemes.