Design of A Modified Algorithm for Maneuvering Targets Tracking

Author

Qing, Fang ; Chuan, Li

Author_Institution

East. China Res. Inst. of Electron. Eng.

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

5

Abstract

Maneuvering target tracking (MTT) is widely applied in military and civil fields. Aimed to the problems concerning MTT and based on the current statistic model (CSM), this paper implements the engineering application of the Kalman filter algorithm. In order to improve the MTT agility and the filter precision, some optimization and modification to CSM is performed and an adaptive filter algorithm called speed warp estimation (SWE) is proposed in this paper. This new algorithm adjusts the variance of acceleration by means of the warp between velocity prediction estimation and velocity filter estimation. Simulation and tests show that the SWE algorithm has a better filter performance

Keywords

adaptive Kalman filters; statistical analysis; target tracking; CSM; Kalman filter algorithm; MTT; SWE; adaptive filter algorithm; current statistic model; maneuvering target tracking; speed warp estimation; velocity filter estimation; velocity prediction estimation; Adaptive filters; Aerodynamics; Algorithm design and analysis; Colored noise; Design engineering; Information filtering; Information filters; Statistics; Target tracking; Testing; Kalman filter; Maneuvering target tracking (MTT); current statistic model (CSM); speed warp estimation (SWE);

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343371

Filename

4148573