{"title":"一种未知源数的实值高分辨率相干DOA估计方法","authors":"Teng Ma, Minglei Yang, Yu Chen","doi":"10.1016/j.dsp.2025.105408","DOIUrl":null,"url":null,"abstract":"<div><div>When the signals are coherent and the number of sources is difficult to determine accurately, direction-of-arrival (DOA) estimation becomes challenging. In such scenario, the method proposed in this paper first reconstructs a Toeplitz matrix from the cross-correlation vectors of the array-received signals to perform decorrelation. This decorrelation technique preserves array aperture and facilitates DOA estimation. Subsequently, a new real-valued matrix is constructed using only the real and imaginary parts of the reconstructed matrix, instead of employing a unitary transformation. Based on this real-valued matrix, a synthetic spatial spectrum is formulated using subspace projection theory, requiring only a single matrix inversion and power operation, which improves computational efficiency. Simulation results and theoretical analysis demonstrate the effectiveness of the proposed method for estimating the DOAs of coherent sources in scenarios where the number of sources is unknown.</div></div>","PeriodicalId":51011,"journal":{"name":"Digital Signal Processing","volume":"167 ","pages":"Article 105408"},"PeriodicalIF":3.0000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A real-valued high-resolution coherent DOA estimation method with unknown source number\",\"authors\":\"Teng Ma, Minglei Yang, Yu Chen\",\"doi\":\"10.1016/j.dsp.2025.105408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>When the signals are coherent and the number of sources is difficult to determine accurately, direction-of-arrival (DOA) estimation becomes challenging. In such scenario, the method proposed in this paper first reconstructs a Toeplitz matrix from the cross-correlation vectors of the array-received signals to perform decorrelation. This decorrelation technique preserves array aperture and facilitates DOA estimation. Subsequently, a new real-valued matrix is constructed using only the real and imaginary parts of the reconstructed matrix, instead of employing a unitary transformation. Based on this real-valued matrix, a synthetic spatial spectrum is formulated using subspace projection theory, requiring only a single matrix inversion and power operation, which improves computational efficiency. Simulation results and theoretical analysis demonstrate the effectiveness of the proposed method for estimating the DOAs of coherent sources in scenarios where the number of sources is unknown.</div></div>\",\"PeriodicalId\":51011,\"journal\":{\"name\":\"Digital Signal Processing\",\"volume\":\"167 \",\"pages\":\"Article 105408\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1051200425004300\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051200425004300","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A real-valued high-resolution coherent DOA estimation method with unknown source number
When the signals are coherent and the number of sources is difficult to determine accurately, direction-of-arrival (DOA) estimation becomes challenging. In such scenario, the method proposed in this paper first reconstructs a Toeplitz matrix from the cross-correlation vectors of the array-received signals to perform decorrelation. This decorrelation technique preserves array aperture and facilitates DOA estimation. Subsequently, a new real-valued matrix is constructed using only the real and imaginary parts of the reconstructed matrix, instead of employing a unitary transformation. Based on this real-valued matrix, a synthetic spatial spectrum is formulated using subspace projection theory, requiring only a single matrix inversion and power operation, which improves computational efficiency. Simulation results and theoretical analysis demonstrate the effectiveness of the proposed method for estimating the DOAs of coherent sources in scenarios where the number of sources is unknown.
期刊介绍:
Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal.
The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as:
• big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,