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Theoretical Research On Dual-station Forward-looking SAR Imaging Based On Noise Frequency Modulation Signal

Posted on:2019-02-21Degree:MasterType:Thesis
Country:ChinaCandidate:X J ZhouFull Text:PDF
GTID:2438330572962896Subject:Signal and Information Processing
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The radar system with random noise signal has the advantages of good electromagnetic compatibility,target detection performance,anti-jamming performance and no fuzzy distance measurement performance.Bistatic forward-looking synthetic aperture radar(BFSAR)is a special mode of Bistatic SAR(BISAR).Due to the separation of transmitter and receiver,BFSAR solves the low Doppler resolution and range ambiguity problems.Random noise technology for SAR imaging could bring advantages.Random noise SAR is researched in the dissertation.The dissertation maingly researchs performance of random noise SAR,performance of BFSAR and imaging algorithm of BFSAR under noise system.It mainly includes the following points:(1)Research on random noise SARThe selection of signal waveform of random noise SAR and its energy,distance resolution and ambiguity function are introduced.The random noise signal is compared with the LFM signal and the conclusion is reached.The time-domain BP and the frequency-domain RD of random noise SAR are given.(2)Performance analysis of BFSARFirstly,we classify the BFSAR,then analyze the calculation method of synthetic aperture time in each mode,and give the space-time diagram of the beam motion in each mode by examples.Finally,the resolution of distance and azimuth resolution is analyzed in detail.(3)Research on one stationary BFSAR under noise systemThe characteristics of the one stationary BFSAR under noise are analyzed in detail.The derivation of the modified RD algorithm combined with squint minimization method and the squint minimization method are also given.(4)Analysis of hyperbolic approximating method based on Noise System and research on Parallel BFSARAn improved hyperbolic approximating method based on single-station equivalence is proposed to solve the two-dimensional spectrum of BFSAR.Then the two-dimensional spectrum obtained by hyperbolic equivalence method is used to study the RD algorithm suitable for parallel BFSAR.
Keywords/Search Tags:Random noise SAR, bistatic forward-looking SAR, two-dimensional spectrum, range Doppler(RD)algorithm, hyperbolic equivalent method, squint minimization method
PDF Full Text Request
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