Novel Signal Extraction Algorithm for Communication Signals by Combining Independent Component Analysis and Spatial Constraints

摘要

Signal of interest (SOI) extraction is a vital issue in communication signal processing. In this paper, we propose a novel iterative algorithm for extracting SOIs from instantaneous mixtures, which explores the spatial constraint corresponding to the Directions of Arrival (DOAs) of the SOIs as prior information into the constrained Independent Component Analysis (cICA) framework. Compared with the FastICA algorithm and beamforming techniques, i.e., MVDR, numerical simulation results demonstrate the effectiveness, robustness and higher performance of the proposed algorithms.