| 摘要: |
| 针对非圆信号测向，为了改善低信噪比时的测向性能，提出了一种基于滤波预处理和矩阵重构的测向新方法。首先，基于均值滤波提出一种平滑预处理方法，能够有效平滑低信噪比情况下的噪声成分，改善信噪比条件。然后，进一步利用信号非圆特性实现阵列扩展和矩阵重构，避免了非圆相位估计，有效降低了参数估计维度。最后，利用ESPRIT(Estimation of Signal Parameters via Rotational Invariance Techniques)算法进行测向估计。理论分析和仿真验证结果表明，所提方法估计过程简单，计算复杂度低，能够有效改善低信噪比时的测向性能，在低信噪比时相对已有方法具有更高的估计精度和估计成功概率。 |
| 关键词: 非圆信号 DOA估计 测向 ESPRIT算法 平滑预处理 |
| DOI：10.20079/j.issn.1001-893x.240528005 |
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| 基金项目:重庆市自然科学基金面上项目（cstc2021jcyj-msxmX0429）；重庆市教委科学技术研究项目（KJQN202301317） |
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| A Novel Direction Finding Method for Non-circular Signal Based on Filtering Preprocessing |
| AN Chunlian,LI Peng,YANG Guyue |
| (1.School of Electronic and Information Engineering,Chongqing University of Arts and Sciences,Chongqing 402160,China;2.Southwest China Research Institute of Electronic Equipment,Chengdu 610036,China) |
| Abstract: |
| To address the issue of direction finding(DF)for non-circular signals and improve direction finding performance under low signal-to-noise ratio(SNR)conditions,a new method based on filtering preprocessing and matrix reconstruction is proposed.Firstly,a smoothing preprocessing method based on mean filtering is introduced,which can effectively smooth noise components under low SNR conditions and improve the SNR conditions.Then,by utilizing the non-circular characteristics of the signal,array expansion and matrix reconstruction are performed to avoid non-circular phase estimation,thus effectively reducing the dimension of parameter estimation.Finally,the estimation of signal parameters via rotational invariance techniques(ESPRIT)algorithm is used for DF estimation.Theoretical analysis and simulation results show that the proposed method has a simple estimation process and low computational complexity,and can significantly improve DF performance under low SNR conditions,providing higher estimation accuracy and success probability compared with existing methods in such scenarios. |
| Key words: non-circular signal DOA estimation direction finding ESPRIT algorithm smoothing preprocess |
