Two-Dimensional Harmonic Retrieval in Correlative Noise Based on Genetic Algorithm

被引：0
|
作者：
Sun-Yong Wu
Gui-Sheng Liao
Zhi-Wei Yang
机构：
[1] Xidian University,National Lab of Radar Signal Processing
[2] Guilin University of Electronic Technology,Department of Computational Science and Mathematics
来源：
EURASIP Journal on Advances in Signal Processing | / 2010卷
关键词：
Genetic Algorithm; Additive Noise; Harmonic Frequency; Multiplicative Noise; Colored Gaussian Noise;
D O I：
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学科分类号：
摘要：
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.
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