An evolutionary approach for joint blind multichannel estimation and order detection

Authors:
Chen Fangjiong;Sam Kwong;Wei Gang
Affiliations:
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong and Department of Electronic Engineering, South China University of Technology, Wushan, Guangzhou, China;Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong;Department of Electronic Engineering, South China University of Technology, Wushan, Guangzhou, China
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2003

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Abstract

A joint blind order-detection and parameter-estimation algorithm for a single-input multiple-output (SIMO) channel is presented. Based on the subspace decomposition of the channel output, an objective function including channel order and channel parameters is proposed. The problem is resolved by using a specifically designed genetic algorithm (GA). In the proposed GA, we encode both the channel order and parameters into a single chromosome, so they can be estimated simultaneously. Novel GA operators and convergence criteria are used to guarantee correct and high convergence speed. Simulation results show that the proposed GA achieves satisfactory convergence speed and performance.