Title :
IMM tracking of a 3D maneuvering target with passive TDOA system
Author :
Chen, Ling ; Li, ShaoHong
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Abstract :
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.
Keywords :
Monte Carlo methods; filtering theory; target tracking; 3D maneuvering target tracking; interacting multiple model tracking; passive localization; passive time difference of arrival system; passive tracking; target motion models; three dimensional maneuvering target tracking; Adaptive filters; Computational modeling; Infrared sensors; Master-slave; Passive filters; Passive radar; Radar tracking; Signal processing; Target tracking; Time difference of arrival;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281189
