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一种基于判别投影特征提取的杂波点迹滤除方法

汪晋 苏洪涛 汪圣利 田强

雷达科学与技术2026,Vol.24Issue(1):52-61,73,11.
雷达科学与技术2026,Vol.24Issue(1):52-61,73,11.DOI:10.3969/j.issn.1672-2337.2026.01.006

一种基于判别投影特征提取的杂波点迹滤除方法

A Feature Extraction Method Based on Discriminant Projections for Clutter Plot Filtering

汪晋 1苏洪涛 2汪圣利 3田强3

作者信息

  • 1. 西安电子科技大学雷达信号处理全国重点实验室,陕西 西安 710071||南京电子技术研究所,江苏 南京 210039
  • 2. 西安电子科技大学雷达信号处理全国重点实验室,陕西 西安 710071
  • 3. 南京电子技术研究所,江苏 南京 210039
  • 折叠

摘要

Abstract

In complex environments,radars face a large number of clutter plots,which severely affect the effective tracking of targets.The clutter plot filtering technology can effectively suppress the false plots caused by clutter,reduce the system processing burden,and improve the target tracking performance.The richer the features used for radar plot filtering,the higher the accuracy of plot classification and discrimination,and the better the plot filtering performance.Therefore,how to extract effective features is an important issue for radar clutter plot filtering.The traditional feature ex-traction algorithm based on regularized least squares ignores the inter-class reconstruction relationship and intra-class clustering characteristics of samples in the projection space when constructing the cost function,resulting in feature loss after dimensionality reduction.To address this issue,this paper proposes a feature extraction algorithm based on regular-ized least squares weighted discriminant projection.The proposed method utilizes inter-class representation coefficients to reconstruct samples,thereby minimizing the reconstruction error.Furthermore,when constructing the cost function,the representation coefficients of the samples are used to generate an intra-class weighting matrix,which improves the compactness of similar samples,and preserves more effective features after dimensionality reduction.To verify the uni-versality and effectiveness of the proposed method,a public facial dataset and radar measured data are used to conduct validation respectively.Experimental results on the public facial dataset show that the proposed method achieves at least 4%improvement in recognition accuracy.Processing results of the radar measured data demonstrate that the proposed method achieves a clutter plot suppression rate of over 90%,while the target plot loss rate remains below 1%.

关键词

点迹滤除/特征提取/维数简约/判别投影

Key words

plot filtering/feature extraction/dimensionality reduction/discriminant projections

分类

信息技术与安全科学

引用本文复制引用

汪晋,苏洪涛,汪圣利,田强..一种基于判别投影特征提取的杂波点迹滤除方法[J].雷达科学与技术,2026,24(1):52-61,73,11.

基金项目

国家自然科学基金(62201418,62192714) (62201418,62192714)

雷达科学与技术

1672-2337

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