利用核方法的直扩系统多个窄带干扰抑制

Suppression of multiple narrowband interferences using kernel methods in DSSS

针对直扩通信中存在多个窄带干扰的情况,提出一种利用核独立分量分析的窄带干扰抑制算法.该算法利用核方法,以重建希尔伯特空间的典型相关为对比函数(通过期望用户扩频码初始化解混矩阵,在信源分离同时得到期望信号,实现干扰抑制).由于该算法只需直扩信号与干扰信号相互独立,且服从高斯分布的信号不多于一个,这在实际中很容易满足,因此适用性广.仿真结果验证了该方法对抑制多个独立窄带干扰是有效的.

This paper proposes an algorithm for suppressing the multiple narrowband interferences using kernel independent component analysis （KICA） in direct sequence spread spectrum systems. Combining with the kernel methods the algorithm uses canonical correlations in a reproducing kernel Hilbert space （RKHS） as the contrast function. By initializing the demixing matrix using the pseudocode of the expected user, the algorithm realizes the separation of source signals and at the same time the expected user is obtained. As the restrictions are mutually independent of the spread spectrum signal and interferences, which can be easily satisfied in practice, the algorithm is useful for suppressing various NBIs. The simulation results verify the effectiveness of the algorithm.