{"title":"双基地MIMO雷达系统中多目标定位的波形去相关","authors":"Jun Yu Li, G. Liao, Kejiang Ma, Cao Zeng","doi":"10.1109/RADAR.2010.5494659","DOIUrl":null,"url":null,"abstract":"The autocorrelation and crosscorrelation properties of transmit waveform set have great effect on the performance of MIMO radar systems. However, it is difficult to design waveform set which have ideal autocorrelation property as well as crosscorrelation one. In this paper, a decorrelation method has been proposed to cancel the effects of the autocorrelation and crosscorrelation of the transmit waveform by exploiting the given statistical properties of waveform. The correlation property of noise after decorrelation is also analyzed. Then a close form solution for localization of the multiple targets is presented via ESPRIT. Simulation results demonstrate the effectiveness of the proposed methods.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Waveform decorrelation for multitarget localization in bistatic MIMO radar systems\",\"authors\":\"Jun Yu Li, G. Liao, Kejiang Ma, Cao Zeng\",\"doi\":\"10.1109/RADAR.2010.5494659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The autocorrelation and crosscorrelation properties of transmit waveform set have great effect on the performance of MIMO radar systems. However, it is difficult to design waveform set which have ideal autocorrelation property as well as crosscorrelation one. In this paper, a decorrelation method has been proposed to cancel the effects of the autocorrelation and crosscorrelation of the transmit waveform by exploiting the given statistical properties of waveform. The correlation property of noise after decorrelation is also analyzed. Then a close form solution for localization of the multiple targets is presented via ESPRIT. Simulation results demonstrate the effectiveness of the proposed methods.\",\"PeriodicalId\":125591,\"journal\":{\"name\":\"2010 IEEE Radar Conference\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2010.5494659\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2010.5494659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Waveform decorrelation for multitarget localization in bistatic MIMO radar systems
The autocorrelation and crosscorrelation properties of transmit waveform set have great effect on the performance of MIMO radar systems. However, it is difficult to design waveform set which have ideal autocorrelation property as well as crosscorrelation one. In this paper, a decorrelation method has been proposed to cancel the effects of the autocorrelation and crosscorrelation of the transmit waveform by exploiting the given statistical properties of waveform. The correlation property of noise after decorrelation is also analyzed. Then a close form solution for localization of the multiple targets is presented via ESPRIT. Simulation results demonstrate the effectiveness of the proposed methods.
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