基于聚谱分析的多通道盲信号自适应分离算法

Multichannel Blind Signal Adaptive Separation Algorithm Based on Polyspectra Analysis

该文提出一种在多传感器中多种信号混叠的分离方法。该方法通过分析传感器数据的聚谱来提取未知信号,并利用线性方程基本算法估计有限脉冲响应的耦合系统,该方法对于多通道谱重叠的有色输入信号盲解卷积十分有效。作为该算法的扩展,可以应用于包括准周期信号等非平稳信号的分离。并将该算法应用于电磁辐射的测试,仿真结果证明了其有效性和快速性。

A separation method of multiple signals from their superposition recorded at several sensors is addressed. The method employs polyspeetra of the sensor data to extract the unknown signals and estimate the Finite Impulse Response （FIR） coupling systems via a linear equation basic algorithm. The method is useful for multichannel blind deconvolution of colored input signals with （possibly） overlapping spectra. An extension of the main algorithm, which can be applied to non-stationary signals separation such as quasiperiodic signal, is also given. What＇s more, the method is applied to electromagnetic radiation measurement. Simulation results verify the effectiveness of the algorithm.