基于被动TDOA系统的三维机动目标IMM跟踪

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI:10.1109/ICNNSP.2003.1281189

Ling Chen, Shaohong Li

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引用次数: 16

摘要

近年来，被动定位和跟踪技术得到了广泛的研究。无源到达时差(TDOA)系统是一种重要的无源定位系统。IMM算法是一种很有前途的机动目标跟踪算法。本文研究了一种新的IMM跟踪算法在被动TDOA系统中的应用。如果选择准确的目标运动模型，可以获得良好的跟踪性能。本文提出了一种目标运动的混合模型，称为CV-Singer模型。与单模型滤波器和采用CV-CA模型的IMM滤波器相比，采用CV-Singer模型的IMM滤波器可以为无源TDOA系统提供更好的跟踪性能。

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IMM tracking of a 3D maneuvering target with passive TDOA system

In recent years, passive localization and tracking are widely studied. Passive Time Difference Of Arrival (TDOA) system is one of important passive location systems. The IMM algorithm is a promising algorithm for tracking maneuvering targets. Here, a new application of IMM tracking algorithm to passive TDOA system is studied. The good tracking performance can be achieved if the accurate target motion models are selected. The paper presents a hybrid model of target motion, called CV-Singer model. Compared with the single model filter and the IMM filter used CV-CA model, the IMM filter used CV-Singer model can provide better tracking performance for passive TDOA systems.

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International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003

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