QQ客服 官方微博 反馈留言

	Separation of multi-path LFM signals based on fractional Fourier transform
	Jin Yan ; Huang Zhen ; Lu Jianhua
	2010-10-12 ; 2010-10-12
关键词	Practical/ Fourier transforms radar signal processing signal detection source separation/ multipath LFM signal separation fractional Fourier transform ocean surface radar signals signal fading signal detection performance parameter estimation accuracy linear frequency modulated signal time-frequency clustering 1D neighborhood search algorithm polar coordinates signal-to-interference ratio root mean square error center frequency estimation/ B6320 Radar equipment, systems and applications B6140M Signal detection B0230 Integral transforms
中文摘要	Reflections off of the ocean surface leads to multi-path effects when receiving radar signals from high altitude space. The multi-path effects lead to signal fading and the loss of signal detection performance and parameter estimation accuracy. This paper focuses on multi-path separation for a linear frequency modulated (LFM) signal based on fractional Fourier transform (FRFT). The method uses time-frequency clustering of the LFM signals by incorporating a 1-D neighborhood search algorithm based on polar coordinates. Simulations show that the algorithm improves the signal-to-interference ratio by 75 dB and reduces the root mean square error of the center frequency estimation by over 75% after separation of the multi-path signals. The algorithm has a high search speed and achieves effective mitigation of multi-path effects on LFM signals.
语种	中文
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82701]
专题	清华大学
推荐引用方式 GB/T 7714	Jin Yan,Huang Zhen,Lu Jianhua. Separation of multi-path LFM signals based on fractional Fourier transform[J],2010, 2010.
APA	Jin Yan,Huang Zhen,&Lu Jianhua.(2010).Separation of multi-path LFM signals based on fractional Fourier transform..
MLA	Jin Yan,et al."Separation of multi-path LFM signals based on fractional Fourier transform".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。