Share Email Print

Proceedings Paper

An improved parameter adaptive CS model for maneuvering target tracking
Author(s): Qian-xue Fang; Jian-wen Yang; Jun Chen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

To improve the tracking accuracy of maneuvering target, a tracking algorithm based on parameter adaptive current statistical (CS) model is proposed. According to the relationship between the acceleration increment and displacement, the acceleration variance is adjusted adaptively. According to the statistical distance of the measurement residuals, the target maneuver characteristics are determined, and then the maneuvering frequency and the filter gain coefficient of the model are adjusted to improve the matching degree between the algorithm model and the target maneuver model. The simulation results show that the tracking algorithm based on the parameter adaptive CS model can improve the tracking performance of the strong maneuvering target.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330Q (29 August 2016); doi: 10.1117/12.2243845
Show Author Affiliations
Qian-xue Fang, Air Force Airborne Academy (China)
Jian-wen Yang, Air Force Airborne Academy (China)
Jun Chen, Air Force Airborne Academy (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?