{"title":"Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART)","authors":"Xunmeng Wu, Zai Yang, Zhiqiang Wei, Zongben Xu","doi":"10.1109/SSP53291.2023.10208081","DOIUrl":null,"url":null,"abstract":"We study the source localization problem for constant modulus (CM) signal using a uniform linear array. Existing results on parameter identifiability show that the maximum number of CM signal sources that can be uniquely localized can exceed the number of sensors, but a practical algorithm is still lacking so far. In this paper, we propose a structured matrix recovery technique (SMART) for CM signal source localization. In particular, the source localization problem is cast as a rank-constrained Hankel-Toeplitz matrix-based feasibility problem, in which signal structures are fully exploited. The alternating direction method of multipliers (ADMM) algorithm is applied to solve the resulting rank-constrained problem and the sources are uniquely retrieved from the numerical solution. Numerical results demonstrate that the proposed SMART can localize more sources than sensors.","PeriodicalId":296346,"journal":{"name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Statistical Signal Processing Workshop (SSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSP53291.2023.10208081","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
We study the source localization problem for constant modulus (CM) signal using a uniform linear array. Existing results on parameter identifiability show that the maximum number of CM signal sources that can be uniquely localized can exceed the number of sensors, but a practical algorithm is still lacking so far. In this paper, we propose a structured matrix recovery technique (SMART) for CM signal source localization. In particular, the source localization problem is cast as a rank-constrained Hankel-Toeplitz matrix-based feasibility problem, in which signal structures are fully exploited. The alternating direction method of multipliers (ADMM) algorithm is applied to solve the resulting rank-constrained problem and the sources are uniquely retrieved from the numerical solution. Numerical results demonstrate that the proposed SMART can localize more sources than sensors.