机载MIMO雷达收发联合降维STAP算法统一理论框架

Unified Theoretical Frame of a Joint Transmitter-Receiver Reduced Dimensional STAP Method for an Airborne MIMO Radar

该文研究了机载多输入多输出(Multiple-Input Multiple-Output,MIMO)雷达杂波抑制的收发联合降维空时自适应处理(Space Time Adaptive Processing,STAP)算法统一理论框架。首先,基于机载MIMO雷达发射波形分集的特性,构建了机载MIMO雷达降维联合自适应STAP处理的统一理论框架结构。在此基础上,建立了3种降维STAP处理结构。最后,针对上述3种降维结构,给出了相应的3类适用于MIMO体制的降维STAP处理算法。仿真实验表明:机载MIMO雷达联合降维自适应算法具有较好的杂波抑制性能和较强的抗干扰能力。

The unified theoretical frame of a joint transmitter-receiver reduced dimensional Space-Time Adaptive Processing（STAP） method is studied for an airborne Multiple-Input Multiple-Output（MIMO） radar.First, based on the transmitted waveform diverse characteristics of the transmitted waveform of the airborne MIMO radar, a uniform theoretical frame structure for the reduced dimensional joint adaptive STAP is constructed. Based on it, three reduced dimensional STAP fixed structures are established. Finally, three reduced rank STAP algorithms, which are suitable for a MIMO system, are presented corresponding to the three reduced dimensional STAP fixed structures. The simulations indicate that the joint adaptive algorithms have preferable clutter suppression and anti-interference performance.