Improved multiple-Toeplitz matrices reconstruction method using quadratic spatial smoothing for coherent signals DOA estimation

IF 1.5 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Bingbing Qi, Lijun Xu, Xiaogang Liu
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引用次数: 0

Abstract

Purpose

The purpose of this paper is to exploit the multiple-Toeplitz matrices reconstruction method combined with quadratic spatial smoothing processing to improve the direction-of-arrival (DOA) estimation performance of coherent signals at low signal-to-noise ratio (SNRs).

Design/methodology/approach

An improved multiple-Toeplitz matrices reconstruction method is proposed via quadratic spatial smoothing processing. Our proposed method takes advantage of the available information contained in the auto-covariance matrices of individual Toeplitz matrices and the cross-covariance matrices of different Toeplitz matrices, which results in a higher noise suppression ability.

Findings

Theoretical analysis and simulation results show that, compared with the existing Toeplitz matrix processing methods, the proposed method improves the DOA estimation performance in cases with a low SNR. Especially for the cases with a low SNR and small snapshot number as well as with closely spaced sources, the proposed method can achieve much better performance on estimation accuracy and resolution probability.

Research limitations/implications

The study investigates the possibility of reusing pre-existing designs for the DOA estimation of the coherent signals. The proposed technique enables achieve good estimation performance at low SNRs.

Practical implications

The paper includes implications for the DOA problem at low SNRs in communication systems.

Originality/value

The proposed method proved to be useful for the DOA estimation at low SNR.

利用二次空间平滑进行相干信号 DOA 估计的改进型多重托普利兹矩阵重建方法
本文旨在利用多重托普利兹矩阵重构方法,结合二次空间平滑处理,改善相干信号在低信噪比(SNR)条件下的到达方向(DOA)估计性能。理论分析和仿真结果表明,与现有的 Toeplitz 矩阵处理方法相比,所提出的方法提高了低信噪比情况下的 DOA 估计性能。特别是在信噪比低、快照数小以及信号源间距较近的情况下,所提出的方法在估计精度和分辨率概率方面都能取得更好的性能。本文对通信系统中低信噪比下的 DOA 问题具有重要意义。
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
Engineering Computations
Engineering Computations 工程技术-工程:综合
CiteScore
3.40
自引率
6.20%
发文量
61
审稿时长
5 months
期刊介绍: The journal presents its readers with broad coverage across all branches of engineering and science of the latest development and application of new solution algorithms, innovative numerical methods and/or solution techniques directed at the utilization of computational methods in engineering analysis, engineering design and practice. For more information visit: http://www.emeraldgrouppublishing.com/ec.htm
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