NDLI: Maneuvering target detection in over-the-horizon radar based on genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Dai Wenjuan Hu Jingfeng Xu Dingwen Wang Zixi
Copyright Year	2012
Description	Author affiliation: Electronic Engineering College, University of Electronic Science and Technology of China, Chengdu, 611731, China (Dai Wenjuan; Hu Jingfeng; Xu Dingwen; Wang Zixi)
Abstract	In OTHR systems, the signal-to-clutter ratio (SCR) used for moving targets detection is very low. The Doppler frequency maneuvering targets, such as aircraft and missiles, is time-varying and spreading with long integration time (CIT). In this situation, the Fourier transform based target detection and tracking techniques may fail to work well with a long CIT, because there is a trade-off between the CIT length and Doppler resolution. A new method to detect maneuvering weak targets in the OTHR systems is proposed here. Time-frequency distribution techniques have been used to estimate the range of parameters of targets firstly, then, genetic algorithm (GA) is used to estimate the parameters accurately. The significance of time-frequency distribution is to narrow the search range of GA, and this operation can improve the processing efficiency.
Starting Page	1
Ending Page	4
File Size	475212
Page Count	4
File Format	PDF
ISBN	9781467318938
e-ISBN	9781467318952
DOI	10.1109/MMWCST.2012.6238146
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chirp Maneuvering weak target detection Time-frequency distribution Genetic algorithm Object detection Radar Transforms Time frequency analysis OTH radar Clutter Genetic algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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