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Study Of High Resolution Range Profile Imaging Algorithm Of Millimeter Wave Radar

Posted on:2013-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y B ZhouFull Text:PDF
GTID:2298330422979885Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
It has been an important research subject to use wideband radar to obtain high resolution range profile(HRRP) of target in the modern radar. The radar range profile, which could reflect the structuralcharacteristics and the fine geometry information of the target, could be used for target recognitionand improving the identification ability of radar for target. Thus, it has been of great theoreticalsignificance and practical value in the military area.This paper, combined with research project of “based on prototype development of DSP millimeterwave radar imaging principle”, backgrounded of the application of millimeter wave radar and basedon the actual demand of radar system, processes a thorough theoretical analysis and algorithmsimulation of signal processing technology in radar wideband echo characteristics,synthetic widebandimaging and motion compensation. In addition, with a high speed multi-core DSP algorithm processorplatform, imaging algorithm hardware online test of high resolution range profile (HRRP) has beenfinished. The main research contents in this paper are as follows:(1)The millimeter wave radar operation mode is discussed. The superiority of wide-band millimeterwave radar has been expouned. Argumentation is based on target scattering center model of highresolution range profile. Derivation of high resolution one-dimensional transverse and longitudinaldimension as the imaging principle and imaging requirements is been discussed, and further analysisof the high resolution range profile sensitivity is given. Besides, the shift sensitivity and intensitysensitivity of pretreatment method have been put forward.(2)Signal waveform of step frequency radar and high resolution range profile are studied as well asthe imaging principle is given. Two motion parameters which impact the imaging quality of stepfrequency radar high resolution range profile (HRRP) are summed up, namely, velocity andacceleration. The two times velocity estimation method is put forward to solve the the speedcompensation problem when step frequency radar is at the time of imaging. Analysis of nonlinearphase impact on high resolution range profile (HRRP) is studied with the upper and lower frequencymethod to achieve phase compensation. Finally stitching algorithm of high resolution range profilehas been studied, through simulation comparative analysis; the multiple de-redundance algorithmperformance has been explained. Multiple de-redundance algorithm performance is shown, as well ascomplete step frequency radar imaging algorithm is obtained finally.(3) The high resolution range profile (HRRP) of wideband linear frequency modulated radar is studied and analysis and simulation of the signal waveform characteristics is given. Analysis were comparedby using a matched filter and line frequency modulated as two kinds of pulse compression method toget high resolution range profile(HRRP) imaging effect. The effects of high speed maneuveringtargets to high resolution range profile (HRRP) have been discussed here. By using the RAT method,the velocity compensation is processed. Finally, take F16aircraft as an example; verification of linearfrequency modulated signal in high resolution range profile (HRRP) imaging algorithm is given.(4) Based on the hardware platform of high multi-core DSP TMS320C667, the performance test andthe parallel algorithm design of high resolution range profile (HRRP) have been given in this paper.Further more, the hardware test of the imaging algorithm of radar high resolution range profile(HRRP) is realized by analysis on the parallel efficiency and the effects of imaging algorithmprecision of multi-core DSP hardware platform.
Keywords/Search Tags:radar signal processing, high resolution range profile, stepped frequency, linear frequencymodulation, motion compensation, pulse compression, multi-core DSP
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