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Research On Fusion Imaging Technology Of Transceiver Split Multistatic Radar

Posted on:2020-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:C LiuFull Text:PDF
GTID:2438330626453199Subject:Electromagnetic field and microwave technology
Abstract/Summary:PDF Full Text Request
Compared with the monostatic radar system with the same transceiver,the multistatic radar system with different transceivers has higher security and concealment,and can obtain more abundant target scattering information.Under multistatic radar systems,using distributed radar system in the distance,azimuth and elevation to carry out the study of the tomographic imaging radar high resolution imaging and the spectrum synthesis based on distance,azimuth and elevation,which can achieve the high resolution imaging.What's more,using the sparse characteristic of radar signal in the Fourier domain,the bistatic scattering center model based on the monostatic scattering center is established by studying the bistatic radar scattering mechanism.To realize the high resolution imaging of low sampling rate,the signal reconstruction algorithm based on compressed sensing theory based on radar data fusion technology is used to extract target feature parameters,which can broaden the frequency band and perspectives of observation data.In order to improve the imaging quality of multistatic radar system,this paper deeply studies the high-resolution imaging method of multistatic radar using the distributed radar spectrum synthesis technology and bistatic scattering center modeling technology.And In view of the above content,the work completed in this paper is mainly divided into the following parts:The first part mainly introduces the research background and significance of multistatic radar imaging,expounds the research status of multistatic radar imaging,introduces the principle of bistatic radar imaging algorithm and studies the limitations of monostatic/bistatic radar resolution improvement and the advantages of multistatic radar imaging.The second part studies the high resolution imaging technology of distributed multistatic radar based on spectrum synthesis.Firstly,this part studies the receiving radar distributed on baselines in different directions,derives the spectral difference between the range direction and the azimuth direction spectrum,uses the spectrum shift to expand the spectrum,and combines the two-dimensional backward projection algorithm to image the imaging results of different receivers to improve the resolution of the range direction and the azimuth direction.On the basis of research on three-dimensional back projection algorithm,at the same time using three-dimensional tomographic imaging principle of elevation to the baseline,namely when multiple receive radar along the elevation to the configuration can be obtained to form two-dimensional synthetic aperture in elevation height to the resolution of the three-dimensional imaging result is obtained,and the simulation proves the principle.The third part studies the multistatic radar imaging technology based on bistatic scattering center modeling.Based on the principle of bistatic equivalent monostatic,the echo formula of bistatic radar is derived,and the scattering center model of bistatic geometry is established on the basis of the scattering center model of monostatic.Combined with the principle of compressed sensing and the theory of signal sparse representation,this paper analyzes the data fusion imaging technology of multi-band and multi-perspective under the first-shot and multi-receive system,and realizes the high-resolution imaging of multistatic radar with wide-band perspective.At the same time,the feature extraction of the target is carried out by combining the property scattering center model in the mode of monostatic/ bistatic.By taking advantage of the multistatic radar's multi-angle observation,the target is extracted in an all-round way to obtain the geometric information of the target,and the above principle is verified by simulation.
Keywords/Search Tags:bistatic/multistatic radar, high resolution imaging, back projection, compressed sensing, scattering center modeling
PDF Full Text Request
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