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

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1611

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;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281189

Filename

1281189