{"title":"基于传播子的相干分布式源定位算法","authors":"Renzheng Cao, Xiaofei Zhang, F. Gao","doi":"10.1109/WCSP.2016.7752674","DOIUrl":null,"url":null,"abstract":"In this work, the direction finding of coherently distributed (CD) sources using a uniform linear array (ULA) is investigated. Conventional DSPE algorithm for localization of CD sources requires an extensive two-dimensional search of nominal DOAs and angular spreads. The proposed algorithm exploits the propagator, which is a linear operator that can be easily estimated from the received data, to identify the subspace. Then it constructs a decoupled one-dimensional spectrum estimator for nominal DOAs with the aid of the characteristic of ULA and the rank reduction criterion. The proposed algorithm can dispense the high-complexity two-dimensional search and the eigen-decomposition operation. Hence, it exhibits an advantage of low complexity. When compared to the DSPE and CD-GESPRIT algorithms, the proposed algorithm has close estimation accuracy. Numerical simulation results demonstrate the performance and improvement of the proposed algorithm.","PeriodicalId":158117,"journal":{"name":"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Propagator-based algorithm for localization of coherently distributed sources\",\"authors\":\"Renzheng Cao, Xiaofei Zhang, F. Gao\",\"doi\":\"10.1109/WCSP.2016.7752674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, the direction finding of coherently distributed (CD) sources using a uniform linear array (ULA) is investigated. Conventional DSPE algorithm for localization of CD sources requires an extensive two-dimensional search of nominal DOAs and angular spreads. The proposed algorithm exploits the propagator, which is a linear operator that can be easily estimated from the received data, to identify the subspace. Then it constructs a decoupled one-dimensional spectrum estimator for nominal DOAs with the aid of the characteristic of ULA and the rank reduction criterion. The proposed algorithm can dispense the high-complexity two-dimensional search and the eigen-decomposition operation. Hence, it exhibits an advantage of low complexity. When compared to the DSPE and CD-GESPRIT algorithms, the proposed algorithm has close estimation accuracy. Numerical simulation results demonstrate the performance and improvement of the proposed algorithm.\",\"PeriodicalId\":158117,\"journal\":{\"name\":\"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2016.7752674\",\"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 8th International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2016.7752674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Propagator-based algorithm for localization of coherently distributed sources
In this work, the direction finding of coherently distributed (CD) sources using a uniform linear array (ULA) is investigated. Conventional DSPE algorithm for localization of CD sources requires an extensive two-dimensional search of nominal DOAs and angular spreads. The proposed algorithm exploits the propagator, which is a linear operator that can be easily estimated from the received data, to identify the subspace. Then it constructs a decoupled one-dimensional spectrum estimator for nominal DOAs with the aid of the characteristic of ULA and the rank reduction criterion. The proposed algorithm can dispense the high-complexity two-dimensional search and the eigen-decomposition operation. Hence, it exhibits an advantage of low complexity. When compared to the DSPE and CD-GESPRIT algorithms, the proposed algorithm has close estimation accuracy. Numerical simulation results demonstrate the performance and improvement of the proposed algorithm.