A new multiple targets tracking algorithm based on improved MHT algorithm

Wei Sun, Yu Han
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Abstract

In this paper, a bearing pretreatment method suitable for passive sonar tracking is proposed, when the ocean background noise fluctuation is large, the weak target can also be detected and tracked through the adaptive adjustment of the threshold. The principle and characteristics of the conventional multi-hypothesis tracking algorithm is explored in this paper, we propose a bearing information pre-processing method suitable for passive sonar tracing and an improved MHT method based on Kalman prediction framework. Finally, automatic tracking problem with multi-targets based on bearing crossing and ocean background fluctuations can be achieved. The simulation data proves that this method is reliable and practical.
一种基于改进MHT算法的多目标跟踪算法
本文提出了一种适用于被动声呐跟踪的方位预处理方法,当海洋背景噪声波动较大时,通过阈值的自适应调整,也能检测和跟踪弱目标。本文探讨了传统多假设跟踪算法的原理和特点,提出了一种适用于被动声纳跟踪的方位信息预处理方法和一种基于卡尔曼预测框架的改进MHT方法。最后实现了基于方位交叉和海洋背景波动的多目标自动跟踪问题。仿真数据证明了该方法的可靠性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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