Wideband Signal DOA Estimation Based on Modified Quantum Genetic Algorithm*This work is supported by the program under grant No.51435010103DZ0101 and China postdoctor Science Foundation.

Authors:
Feng Liu;Shaoqian Li;Min Liang;Laizhao Hu
Affiliations:
The author is with the National EW Laboratory, Chengdu 610036, P.R. China. E-mail: liufeng@mailst.xjtu.edu.cn,;The author is with University Electronic Science and Technology of China, Chengdu 610054, P.R. China.,;The authors are with China Electronics Technology Group Corporation No.29 Research Institute, Chengdu 610036, P.R. China.;The authors are with China Electronics Technology Group Corporation No.29 Research Institute, Chengdu 610036, P.R. China.
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2006

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Abstract

A new wideband signal DOA estimation algorithm based on modified quantum genetic algorithm (MQGA) is proposed in the presence of the errors and the mutual coupling between array elements. In the algorithm, the narrowband signal subspace fitting method is generalized to wideband signal DOA finding according to the character of space spectrum of wideband signal, and so the rule function is constructed. Then, the solutions is encoded onto chromosomes as a string of binary sequence, the variable quantum rotation angle is defined according to the distribution of optimization solutions. Finally, we use the MQGA algorithm to solve the nonlinear global azimuths optimization problem, and get optimization azimuths by fitness values. The computer simulation results illustrated that the new algorithm have good estimation performance.