An effective IMM algorithm for maneuvering target tracking

Author

Lei, Shi ; Weihua, Li ; Zuoliang, Liu

Author_Institution

Air Force Inst. of Telecommun. Eng., Xi´´an, China

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

922

Abstract

To reduce the complexity of algorithms for tracking maneuvering targets, a two stage filter scheme based on non-zero mean target dynamical model has been developed, and to maintain good tracking performance for non-maneuvering targets, an improved interacting multiple model (IMM) algorithm with the two stage filter has been suggested. The Monte Carlo simulation shows that this scheme posses a good tracking performance for both high maneuvering and non-maneuvering targets with substantially reduced computing burden

Keywords

Kalman filters; Monte Carlo methods; digital simulation; filtering theory; simulation; target tracking; tracking filters; IMM algorithm; Kalman filter; Monte Carlo simulation; algorithm complexity reduction; interacting multiple model; maneuvering target tracking; nonmaneuvering target tracking; nonzero mean target dynamical model; tracking performance; two stage filter; Acceleration; Accelerometers; Current measurement; Delay estimation; Equations; Filtering algorithms; Kalman filters; Postal services; Target tracking; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.566240

Filename

566240