GPS空时抗干扰中一种改进的MWF算法的应用

摘要

Compared with simple time domain, frequency domain or spatial filter method, space-time adaptive processing （STAP） can use more received data, so the better interference rejection performance can be gotten. In order to reduce the computation, a simplified multistage nested Wiener filter （MWF） method, which is improved on the basis of MWF model, has been proposed through analyzing the dimension reduced processing idea, and it is compared with some general dimension reduced methods for mean square error performance. Simulation results show that, this improved MWF method dramatically reduces the amount of computation in GPS space-time interference suppression.%在GPS接收机的抗干扰抑制中，较单纯时域、频域或空域滤波方法，空时联合处理利用了更多的接收数据信息，因而可以获得更好的干扰抑制性能。针对空时处理方法计算量大的缺陷，文中通过降维处理思想的分析，给出了一种对MWF的前向递推过程进行简化的方法，以此来降低运算量，缩短运算所需的时间，并将这种方法与一般方法进行降秩性能和抗干扰性能的仿真对比，验证了其有效性。