基于信息几何学的双阶段跟踪前检测算法,用于在海洋杂乱中多目标检测
Jinguo Liu1, Hao Wu1, Zheng Yang1
1College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.
Entropy (Basel, Switzerland)
|October 28, 2025
概括
本研究引入了基于信息几何学 (IG) 的海上雷达轨道前检测 (TBD) 框架. 这种新的方法通过改善杂乱区分和解决轨道不匹配来增强多目标检测,从而将信号与杂乱的比率提高了2dB.
科学领域:
- 信号处理 信号处理
- 信息几何学信息几何学
- 雷达系统 雷达系统
背景情况:
- 由于混乱,海上雷达在多目标检测方面面临挑战.
- 现有的方法与目标干扰和未知的目标号码作斗争.
研究的目的:
- 提出基于信息几何学 (IG) 的两阶段轨道前检测 (TBD) 框架,用于增强海上雷达多目标检测.
- 改善杂乱区分,解决相邻目标之间的轨道不匹配问题.
主要方法:
- 在使用几何性质的变形体上建模多目标测量.
- 开发一个结合特征不相似性和路径关联的评分函数.
- 采用两阶段的集成策略 (动态编程和贪集成).
- 实施目标取消检测方案和高效的检测器实施.
主要成果:
- 拟议的算法在海洋杂乱环境中显示出优异的杂乱歧视.
- 有效地解决邻近目标之间的轨道不匹配问题.
- 实现信号与杂乱比率至少2dB的改进.
- 通过使用实际记录的海洋杂乱数据进行验证.
结论:
- 基于IG的TBD框架在海洋环境中比传统的雷达探测方法提供了显著的改进.
- 该方法有效地应对杂乱,目标干扰和未知的目标数字的挑战.
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