Research of blind deconvolution algorithm based on high-order statistics and quantum inspired GA

Authors:
Jun-an Yang;Bin Zhao;Zhongfu Ye
Affiliations:
702 Research Division of Electronic Engineering Institute, Hefei, China;702 Research Division of Electronic Engineering Institute, Hefei, China;Depart. of Electronic Engineering and Information Science of USTC, Hefei, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

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Abstract

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.