Two-dimensional harmonic retrieval in correlative noise based on genetic algorithm

Authors:
Sun-Yong Wu;Gui-Sheng Liao;Zhi-Wei Yang
Affiliations:
National Lab of Radar Signal Processing, Xidian University, Xi'an, Shanxi, China and Department of Computational Science and Mathematics, Guilin University of Electronic Technology, Guilin, Guangx ...;National Lab of Radar Signal Processing, Xidian University, Xi'an, Shanxi, China;National Lab of Radar Signal Processing, Xidian University, Xi'an, Shanxi, China
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Year:
2010

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Abstract

We propose a niche Genetic algorithm (GA) for the two-dimensional (2D) harmonic retrieval in the presence of correlative zero-mean, multiplicative, and additive noise. Firstly, we introduce a 2D fourth-order time-average moment spectrum which has extremum values at the harmonic frequencies. On this basis, the problem of harmonic retrieval is treated as a problem of finding the extremum values for which the niche GA is resorted. Utilizing the global searching ability of the GA, this method can improve the frequency estimation performance. The effectiveness of the proposed algorithm is demonstrated through computer simulations.