Research of Blind Deconvolution Algorithm Based on High-Order Statistics and Quantum Inspired GA

摘要

This paper analyzes the network structure and algorithm model of Multi-Input and Multi-Output (MIMO) blind deconvolution, proposes a novel blind deconvolution algorithm based on output signals' context information, and puts forward a new optimum method using Quantum Inspired Genetic Algorithm (QIGA). The simulation results demonstrate the effectiveness of the algorithm to the separation of communication signals.