基于可行点追踪的机载MIMO雷达收发联合设计方法

Joint design method of transmit-receive for airborne MIMO radar based on feasible point pursuit

摘要:

针对目标先验信息不准确条件下机载多输入多输出(multiple-input multiple-output，MIMO)雷达运动目标检测性能下降的问题，提出了一种基于可行点追踪连续凸近似(feasible point pursuit successive convex approximation，FPP-SCA)的机载MIMO雷达发射波形和接收滤波器组联合设计方法。在角度-多普勒平面上目标可能出现的区域设计一组接收滤波器，以最大化最差情形输出信杂噪比作为联合设计的优化准则；考虑波形的恒模和相似性约束建立极大化极小的联合设计问题，以提高目标参数不准确条件下对目标的稳健性检测；基于FPP-SCA算法框架，将联合设计问题的非凸约束条件进行凸近似处理，解决了极大化极小联合设计问题。仿真实验验证了所提方法能在目标参数不准确时保持较优的目标检测性能，且运算量低于对比方法。

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.