Fusion algorithm for multisensor target tracking in nonlinear systems

Chunling Yang; Quan-Zhan Zheng; Guo-Sui Liu

doi:10.1117/12.352870

15 July 1999 Fusion algorithm for multisensor target tracking in nonlinear systems

Chunling Yang, Quan-Zhan Zheng, Guo-Sui Liu

Proceedings Volume 3692, Acquisition, Tracking, and Pointing XIII; (1999) https://doi.org/10.1117/12.352870
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Mainly studies multisensor data fusion algorithm for target tracking in nonlinear systems. Proposes the distributed fusion algorithm based on Converted Measurement Kalman Filter (CMKF). From theory, it is derived that distributed converted CMKF algorithm (DCMKFA) can nearly reconstruct centralized fusion estimate based on CMKF. Simulations proved this conclusion. So DCMKFA is a better distributed fusion algorithm for target tracking in nonlinear systems.

Citation Download Citation

Chunling Yang, Quan-Zhan Zheng, and Guo-Sui Liu "Fusion algorithm for multisensor target tracking in nonlinear systems", Proc. SPIE 3692, Acquisition, Tracking, and Pointing XIII, (15 July 1999); https://doi.org/10.1117/12.352870

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available