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基于多维特征融合网络的分布式雷达真假目标辨识方法

邸传鲁 岑浩狄 何松华 秦琨 于守江 舒汀 何劲 郁文贤

现代雷达2025,Vol.47Issue(11):83-92,10.
现代雷达2025,Vol.47Issue(11):83-92,10.DOI:10.16592/j.cnki.1004-7859.2025092301

基于多维特征融合网络的分布式雷达真假目标辨识方法

Distributed Radar True and False Target Identification Method Based on Multi-dimensional Feature Fusion Network

邸传鲁 1岑浩狄 1何松华 1秦琨 2于守江 2舒汀 1何劲 1郁文贤1

作者信息

  • 1. 上海市北斗导航与位置服务重点实验室,上海 200240||上海交通大学 自动化与感知学院,上海 200240
  • 2. 上海航天电子通讯设备研究所,上海 201109
  • 折叠

摘要

Abstract

An attention-guided multi-dimensional feature fusion identification method based on a distributed radar system is pro-posed in this paper.In this method,a multi-feature fusion network is designed to focuse on different echo characteristics,and multi-modal information is projected into a high-dimensional space for effective separation.The network comprehensively utilizes the energy consistency of target echoes,velocity projection consistency,spatial positioning correlation,and spectral distortion fea-tures formed by genuine reflections,paying attention to features of signals at different scales by means of multi-scale convolution;moreover,it enhances the representational capacity of network by establishing an attention mechanism among different scales and features.The identification performance is validated and compared by constructing a dataset based on electromagnetic simulations,and designing various signal to noise ratio and baseline length conditions.Experimental results demonstrate that under challenging conditions of a signal to noise ratio of-6 dB and a short baseline of 2 km,the proposed method achieves a recognition rate of 97.4%,showing significant improvement over traditional methods.Component-wise and feature-wise ablation studies confirm the effectiveness of key designs,including the attention mechanism,multi-scale convolution,and multi-feature fusion.As the proposed method is grounded in physical characteristics without relying on specific signal modes,it offers a more robust solution for true-false target identification in complex electromagnetic environments,thereby enhancing radar capability against deception jamming.

关键词

分布式雷达/真假目标辨识/卷积网络/注意力机制

Key words

distributed radar/true and false target identification/convolutional network/attention mechanism

分类

信息技术与安全科学

引用本文复制引用

邸传鲁,岑浩狄,何松华,秦琨,于守江,舒汀,何劲,郁文贤..基于多维特征融合网络的分布式雷达真假目标辨识方法[J].现代雷达,2025,47(11):83-92,10.

现代雷达

OA北大核心

1004-7859

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