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	Suppressing autocorrelation sidelobes of LFM pulse trains with genetic algorithm
	Wang Peng ; Meng Huadong ; Wang Xiqin
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ correlation methods frequency modulation genetic algorithms/ autocorrelation sidelobe function ACF suppression linear frequency modulation stepped-frequency LFM pulse train genetic algorithm nonlinear optimization method interpulse frequency modulation sequence/ B6120 Modulation and coding methods B6140 Signal processing and detection B0260 Optimisation techniques
中文摘要	Modulations and diversities, including the Costas-ordered stepped-frequency and nonlinear stepped-frequency waveforms are widely used in linear frequency modulation (LFM) pulse trains to reduce the relatively high autocorrelation function (ACF) sidelobes. An efficient method was developed to optimize the interpulse frequency modulation to remove most of the ACF sidelobes about the mainlobe peak, with only a small increase in the mainlobe width. The genetic algorithm is used to solve the nonlinear optimization problem to find the interpulse frequency modulation sequence. The effects on the ACF sidelobes suppression and mainlobe widening are studied. The results show that the new design is superior to the corresponding stepped-frequency LFM signal and weighted stepped-frequency LFM signal in the terms of the ACF sidelobes reduction and mainlobe spread.
语种	英语
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82317]
专题	清华大学
推荐引用方式 GB/T 7714	Wang Peng,Meng Huadong,Wang Xiqin. Suppressing autocorrelation sidelobes of LFM pulse trains with genetic algorithm[J],2010, 2010.
APA	Wang Peng,Meng Huadong,&Wang Xiqin.(2010).Suppressing autocorrelation sidelobes of LFM pulse trains with genetic algorithm..
MLA	Wang Peng,et al."Suppressing autocorrelation sidelobes of LFM pulse trains with genetic algorithm".(2010).

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