GPS接收机降维空时联合处理算法研究

空时联合自适应处理在增加阵列空时自由度的同时,繁重的计算量成为其工程实现中的主要障碍,对接收数据进行降维处理已经成为主要解决手段。本文在GPS接收机空时联合抗干扰背景下,对几种降维处理方法的性能进行详细的分析和仿真,结果表明基于降秩维纳滤波的降维处理技术优于传统方法,能够大大简化GPS空时抗干扰的计算复杂度,并且具有较好的收敛性能和抗干扰性能。

Research on Algorithm of Reduced-Dimension Joint Space-Time Processing for GPS Receiver

STAP greatly enhances the degree of freedom without increasing the number of array elements, at the same time, the high computational complexity becomes the main obstacle in its engineering implementation. Reduced-dimension processing to the receiving data has becomes the main method of resolution. Under the background of GPS receiver joint space-time interference, the performances of reduced-dimension method are analyzed and simulated in this paper, the result shows that the reduced-rank multistage Wiener filter（RR-MWF） based reduction-dimension technique outperforms other traditional methods, it dramatically reduces the amount of computation in GPS space-time interference and has a better convergence and interference performance.