Multi-sensor data fusion based on electro-optical tracking system

Jin Zhang; Yu Lu; Wanping Wang; Yong Zhang; Qinzhang Wu

doi:10.1117/12.828728

20 May 2009 Multi-sensor data fusion based on electro-optical tracking system

Jin Zhang, Yu Lu, Wanping Wang, Yong Zhang, Qinzhang Wu

Proceedings Volume 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 72832V (2009) https://doi.org/10.1117/12.828728
Event: AOMATT 2008 - 4th International Symposium on Advanced Optical Manufacturing, 2008, Chengdu, Chengdu, China

Abstract

The modern electro-optical (EO) measurement and tracing system usually has different kind of EO sensors that can get measurement of the target at the same time. The traditional tracking system of electro-optical measurement device mainly relies on single sensor that has better precision, and switches to other sensors while tracking is unstable. However, it brings on unstable tracking performance and dramatic decrease of tracking precision while switching among different sensors that have different measurement accuracy. To overcome the disadvantage of the conventional tracking method, a federated Kalman filter algorithm based on multi-sensor fusion of several sensors in EO tracking system is proposed. The local filters deal with the target track from each sensor, then the synthetic target estimation is made according to the sensor fusion of local estimation. Then the weight factor is assigned to each local filter using the fuzzy logic technique by analyzing the covariance of target estimation. The weight factor represents the degree of performance of the local estimation and shows the relationship between each sensor. The simulations with Monte Carlo methods show that the proposed algorithm is effective in optoelectronic tracking system especially in the situation of switching among different sensors, and the precision is also superior to the traditional single sensor tracking algorithm.

Citation Download Citation

Jin Zhang, Yu Lu, Wanping Wang, Yong Zhang, and Qinzhang Wu "Multi-sensor data fusion based on electro-optical tracking system", Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72832V (20 May 2009); https://doi.org/10.1117/12.828728

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