基于CG-MSNWF的空时自适应抗干扰算法研究

Research of space-time adaptive anti-jamming algorithm based on CG-MSNWF

针对多级维纳滤波MSNWF(Multi-Stage Nested Winner Filter)算法的计算量大,在处理高维数据时不能满足实时性的需要问题,采用基于共轭梯度CG(Conjugate Gradient)的多级维纳滤波算法—CG-MSNWF。在相同的干扰抑制性能条件下,该算法相比于MSNWF不需要后向迭代过程,降低了计算量和对硬件存储器的要求,提高了算法的收敛速度,满足了实时性的需求。仿真结果证实了算法的实效性。

A space-time adaptive anti-jainming algorithm based on CG-MSNWF has been proposed to achieve anti-jamming for minishing the compute in the MSNWF algorithm and solving the real-time process on multidimensional data. The algorithm minishes the computed quantity and request of the memorizer comparing with the MSNWF algorithm in the same condition. The algorithm enhances the astringency and satisfied with the real-time demand. The validity of the proposed algorithm is proved by the simulation results.