一种基于核的GPS空时自适应抗干扰方法

Kernel-based GPS Space-time Adaptive Anti-jam Method

针对GPS接收系统的空时自适应抗干扰技术,分析目前基于FROST阵列处理的最小均方算法LMS(FLMS)算法,提出一种基于核方法的FLMS算法(Kernel FLMS,KFLMS).通过对空时自适应STAP和算法的建模,研究了KFLMS算法的性能.系统仿真表明,KFLMS算法不仅能抑制大于阵元个数的多个宽、窄带干扰,而且使接收机整体抗干扰能力达到70dB左右,比FLMS算法效果更优.

To the technology on space-time adaptive anti-jam of GPS receiver system, the paper analyzed the Least- mean-square （LMS） algorithm based on FORST array processing presently and then proposed a new Least-mean- square （LMS） algorithm of FORST based on kernel method. By modeling space-time adaptive processing （STAP） and KFLMS algorithm, it researches the performance of anti-jam system. The simulations show the number of wideband and narrowband interferences suppressed by KFLMS algorithm is more than that of the sensors of array antenna. KFLMS algorithm can restrain the intensity of interference up to 70 dB, which is better than FLMS algorithm.