Noise Covariance Matrix Estimation in Block-Correlated Noise Field for Direction Finding

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2025-01-06 DOI:10.1109/LSP.2025.3525898
Majdoddin Esfandiari;Sergiy A. Vorobyov
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引用次数: 0

Abstract

A noise covariance matrix estimation approach in unknown noise field for direction finding applicable for the practically important cases of nonuniform and block-diagonal sensor noise is proposed. It is based on an alternating procedure that can be adjusted for a specific noise type. Numerical simulations are conducted in order to establish the generality and superiority of the proposed approach over the existing state-of-the-art methods, especially in challenging scenarios.
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面向测向的块相关噪声场噪声协方差矩阵估计
提出了一种未知噪声场中噪声协方差矩阵估计的测向方法,适用于非均匀和对角块传感器噪声的实际重要情况。它是基于一个交替的程序,可以根据特定的噪声类型进行调整。数值模拟是为了证明所提出的方法比现有的最先进的方法具有通用性和优越性,特别是在具有挑战性的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
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.
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