一种临近空间MIMO雷达空时自适应处理方法

Method of Space-time Adaptive Processing for MIMO Radar in Near Space

鉴于MIMO雷达多信号间正交性和天线阵列结构影响其动目标检测性能,提出了基于遗传算法优化提高自相关峰值并降低互相关峰值方法,从而实现了多信号间良好正交性,基本抑制了盲速的影响.基于得到最大连续孔径思想,给出了一种阵列结构,在不显著增加天线阵列长度条件下,与正交信号结合,实现了MIMO空时自适应处理(STAP).仿真实验表明,基于正交信号和收发阵列设计,MIMO STAP可实现良好动目标检测性能.

Considering that the orthogonality between the signals and the antenna array structure can exert influences on the moving target detection （MTD） performance of MIMO radar, this paper proposes a method of improving the autocorrelation peak and lowering the cross-correlation peak based on the optimization of genetic algorithms, thus implementing the better orthogonality between multi-signal and suppressing the effects of blind speed. And on the basis of idea of maximum continuous aperture, a sort of array structure is given in this paper, where the space-time adaptive processing （STAP） for MIMO can be implemented by combining the orthogonal signals without increasing the length of antenna array greatly. Simulation experiments show that the STAP for MIMO can realize the better performance on MTD, depending on the design of orthogonal signals and transmitting and receiving arrays.