Shengyuan Li, Linrang Zhang, Nan Liu, Shiyang Tang, Shanshan Zhao
{"title":"Range-angle dependent detection for FDA-MIMO radar","authors":"Shengyuan Li, Linrang Zhang, Nan Liu, Shiyang Tang, Shanshan Zhao","doi":"10.1109/RADAR.2016.8059400","DOIUrl":null,"url":null,"abstract":"In this paper, a target detector with frequency diverse array (FDA) multiple-input and multiple-output (MIMO) radar in a homogenous environment is proposed. Unlike the conventional MIMO radar, the system uses FDA transmitting array. The essence of the proposed technique is to formulate a range-angle dependent detector with FDA MIMO radar. The detector assumes the signals belonging to conic regions, and relies on secondary data. Then, the detector performance is evaluated via Monte Carlo simulations. The results show that our system has interesting detection capabilities with range-angle dependent property, and it could be easily adapted to real scenarios.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a target detector with frequency diverse array (FDA) multiple-input and multiple-output (MIMO) radar in a homogenous environment is proposed. Unlike the conventional MIMO radar, the system uses FDA transmitting array. The essence of the proposed technique is to formulate a range-angle dependent detector with FDA MIMO radar. The detector assumes the signals belonging to conic regions, and relies on secondary data. Then, the detector performance is evaluated via Monte Carlo simulations. The results show that our system has interesting detection capabilities with range-angle dependent property, and it could be easily adapted to real scenarios.