{"title":"DOA Estimation for Coherent and Non-Coherent Mixed Signals Using Toeplitz Diagonal Diffusion","authors":"Wenlong Wang;Lei Zhang","doi":"10.1109/LSP.2025.3565163","DOIUrl":null,"url":null,"abstract":"This letter introduces a new direction-of-arrival (DOA) estimation approach for mixed coherent and uncorrelated signals. The technique extracts cross-diagonal elements from the covariance matrix to form Toeplitz matrices, then averages them using a counting matrix to effectively decorrelate signals. This provides more accurate covariance estimates for subsequent subspace-based DOA estimation methods. Compared to existing approaches, the proposed method offers more degrees of freedom (DOFs) and lower computational complexity, while robustly detecting the directions of mixed coherent and uncorrelated signals under low signal-to-noise ratio (SNR) and limited snapshot conditions.","PeriodicalId":13154,"journal":{"name":"IEEE Signal Processing Letters","volume":"32 ","pages":"1985-1989"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Signal Processing Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10979471/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This letter introduces a new direction-of-arrival (DOA) estimation approach for mixed coherent and uncorrelated signals. The technique extracts cross-diagonal elements from the covariance matrix to form Toeplitz matrices, then averages them using a counting matrix to effectively decorrelate signals. This provides more accurate covariance estimates for subsequent subspace-based DOA estimation methods. Compared to existing approaches, the proposed method offers more degrees of freedom (DOFs) and lower computational complexity, while robustly detecting the directions of mixed coherent and uncorrelated signals under low signal-to-noise ratio (SNR) and limited snapshot conditions.
期刊介绍:
The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.