Abstract:In view of the moving target detection performance degradation of airborne multiple input multiple output(MIMO) radar in the presence of inaccurate target prior information, this paper proposed a joint design method which combines the transmit waveform and receive filter bank of airborne MIMO radar based on feasible point pursuit successive convex approximation(FPP-SCA). Firstly, a set of receive filter banks was designed in the area where the target might appear on the angle-Doppler plane, and the worst-case output signal-to-clutter-plus-noise ratio(SCNR) was maximized as the optimization criterion. Secondly, considering the constant modulus constraint and similarity constraint on the waveform, the maximin joint design problem was formulated to improve the detection robustness of target detection under the uncertainty of target parameters. Finally, based on FPP-SCA algorithm framework, the non-convex constraints of the joint design problem were approximately transformed into the convex constraints to solve the maximin joint design problem. Simulation results showed that the proposed method could maintain better performance when the target parameters were inaccurate, and the computational load of the proposed method was also lower than that of the comparison method.
