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Maximum-Eigenvalue-Based Multiframe Track-Before-Detect Method for Weak Moving Target Detection

delete2025-06-01
delete0
PRE
AI
Z
Zheng Yang
Y
Yongqiang Cheng
H
Hao Wu
R
Runming Zou
X
Xiaoqiang Hua
K
Kang Liu
DOI：10.1109/TAES.2025.3543153delete
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摘要

摘要

En 中文
为解决弱运动目标检测问题，本文提出了一种基于最大特征值（ME）的多帧检测前跟踪（TBD）方法以实现多帧集成并增强目标检测性能。具体而言，利用帧内雷达回波信号的海森正定矩阵的最大特征值（ME）构建ME检测器，并通过广义似然比检验保证检测器性能。随后，为融合帧间目标信息，采用了一种高效的动态规划（DP）算法，其评分函数通过设计基于ME的多任务优化方案导出。因此，开发了一种基于ME的DP-TBD方法，该方法不依赖任何关于目标和杂波的事先知识。通过利用仿真数据和真实雷达数据的实验验证了所提方法的优越性。结果表明，所提方法相较于现有先进方法具有更优的性能。
Keyword:
Dynamic programming (DP)
maximum eigenvalue (ME)
radar detection
track before detect (TBD)
weak moving target

期刊

IEEE Transactions on Aerospace and Electronic Systems 封面图
IEEE Transactions on Aerospace and Electronic Systems
IF:
5.7
论文数:
863
被引数:
2.4W

机构

N
National University of Defense Technology
学者数:
3.3K
论文数: 1.0K
被引数: 8.2K
引用论文

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