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Distributed Sar Imaging Technology Based On Compression Perception Research

Posted on:2013-12-04Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2248330374486696Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Based on the background of distributed SAR compressive sensing imaging, thispaper discusses the distributed SAR ambiguity-resolving imaging technology and thedistributed SAR spectrum synthesis imaging technology. Then, we propose distributedSAR ambiguity-resolving imaging algorithm and distributed SAR spectrum synthesisimaging algorithm. The application of the theory in SAR imaging eliminate the need forpulse compression matched filter, reduce the A/D sampling rate and the amount of dataļ¼Œachieve low side lobe and high resolution imaging. The main content of this article canbe expressed as follows:(1) The DPCMAB technology is studied. The single platform model of orientationmulti-beam would be built, researching how to get the equivalent single-beam echo.Based on the model, we proposed a multi-beam SAR imaging algorithm. Thesimulation results show the method proposed in this paper is effective.(2) The distributed SAR ambiguity-resolving imaging technology would be researched.The equivalent short array based on distributed SAR would be built. Then we putforward a ambiguity-resolving imaging algorithm. The validity of this methodwould be proved by the simulation results.(3) Step frequency LFM SAR signal processing would be analyzed. In this paper, wemainly studied wideband synthetic technology and obtained the equivalentsingle-beam echo. Base on this echo model, we introduced a SFCS radar imagingalgorithm. The validity would be proved by the simulation results.(4) The distributed SAR spectrum synthesis imaging technology would be researched.The distributed SAR model, of which the base-line meets a certain relationship,has been build. Base on this model, we proposed a spectrum synthesis CS imagingalgorithm, then analyzed its performance and influencing factors.
Keywords/Search Tags:distributed, compressive sensing, imaging, multi-beam, SAR
PDF Full Text Request
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