一种小样本支持的多级最小模级联相消器

A Multistage Minimal Module Cascaded Canceller Under Small Samples Support

该文针对阵列信号自适应相消器运算量大、收敛性能易受相关干扰影响等缺点,提出了一种改进的阵列信号多级级联相消器方法,该方法用通道间具有最小模的样本商作为复权,替代多级维纳滤波器的权值计算,具有收敛速度快、运算量小等特点,且对受相关干扰影响的非平稳数据工作性能良好。仿真结果表明,此算法用较少样本就可取得采样协方差求逆(SMI)类算法相同的收敛性能。

Due to the defects of high complexity and instability convergence performance in the array signal adaptive canceller under the correlated interference,an enhanced array signal multistage cascaded canceller is proposed by substituting the weights of the multistage Winner filter for the minimal module weights,which have the minimal module of the samples quotient between channels.The enhanced algorithm has the ability of fast convergence,less operation and performs well with non-stationary samples distorted by the correlated interference.Simulation results indicate the algorithm can reach convergent performance of the kind of Sample Matrix Inversion （SMI） algorithm using less samples.