{"title":"并行MIMO雷达无训练数据的超对称自适应目标检测","authors":"Haifeng Yang, Yongliang Wang, W. Xie, Yuanshui Di","doi":"10.1109/RADAR.2016.8059463","DOIUrl":null,"url":null,"abstract":"For adaptive target detection in a collocated Multiple-input multiple-output (MIMO) radar with a symmetrical spaced linear array, we propose an adaptive detector according to the generalized likelihood ratio test (GLRT) criterion. The proposed detector does not need training data and exploits the persymmetric structures in the receive signal. Simulation results show that the proposed detector significantly outperforms the conventional detectors when the number of the transmit waveform samples is moderate.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Persymmetric adaptive target detection without training data in collocated MIMO radar\",\"authors\":\"Haifeng Yang, Yongliang Wang, W. Xie, Yuanshui Di\",\"doi\":\"10.1109/RADAR.2016.8059463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For adaptive target detection in a collocated Multiple-input multiple-output (MIMO) radar with a symmetrical spaced linear array, we propose an adaptive detector according to the generalized likelihood ratio test (GLRT) criterion. The proposed detector does not need training data and exploits the persymmetric structures in the receive signal. Simulation results show that the proposed detector significantly outperforms the conventional detectors when the number of the transmit waveform samples is moderate.\",\"PeriodicalId\":245387,\"journal\":{\"name\":\"2016 CIE International Conference on Radar (RADAR)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 CIE International Conference on Radar (RADAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2016.8059463\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Persymmetric adaptive target detection without training data in collocated MIMO radar
For adaptive target detection in a collocated Multiple-input multiple-output (MIMO) radar with a symmetrical spaced linear array, we propose an adaptive detector according to the generalized likelihood ratio test (GLRT) criterion. The proposed detector does not need training data and exploits the persymmetric structures in the receive signal. Simulation results show that the proposed detector significantly outperforms the conventional detectors when the number of the transmit waveform samples is moderate.