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Study Of Phase Coded Signal Optimization And Pulse Compression Sidelobe Reduction

Posted on:2004-01-10Degree:MasterType:Thesis
Country:ChinaCandidate:G Y TaoFull Text:PDF
GTID:2168360122460331Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Pulse compression is one of the most important systems in modern radars. With modern weapon and modern wingmanship being developed, the higher performance of the radar, such as action range, resolution, measure precision and so on, are required. Pulse compression effectively solves the contradiction between the range resolution and the average power of the radar, and is widely applied in modern radars. At first the merits and implementation of the digital pulse compression subsystem are introduced in this paper. Then the characteristics of phase coded signals are discussed and the two classic binary phase codes ——Barker code and m-sequence are dealt with in details in the following. Secondly, with combination of a certain type of radar, the application of genetic algorithm to optimum code selection and the iteratively reweighted least-square mismatched filter design for sidelobe reduction are discussed. The favorable experimental results are obtained, especially for 64 phase code. On the other hand, the IRLS algorithm is employed to design mismatched filters for other signals, such as linear frequency modulated Chirp. The methods of improving tolerance of low Doppler shifts are given finally.
Keywords/Search Tags:digital pulse, compression olyphase, genetic algorithm, sidelobe reduction, iteratively reweighted least-square
PDF Full Text Request
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