Multisensor target-tracking performance with bias compensation

Xiangdong Lin; Yaakov Bar-Shalom

doi:10.1117/12.613771

15 September 2005 Multisensor target-tracking performance with bias compensation

Xiangdong Lin, Yaakov Bar-Shalom

Proceedings Volume 5913, Signal and Data Processing of Small Targets 2005; 591311 (2005) https://doi.org/10.1117/12.613771
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

In this paper, multisensor-multitarget tracking performance with bias estimation and compensation is investigated when only moving targets of opportunity are available. First, we discuss the tracking performance improvement with bias estimation and compensation for synchronous biased sensors, and then a novel bias estimation method is proposed for asynchronous sensors with time-varying biases. The performance analysis and simulations show that asynchronous sensors have a slightly degraded performance compared to the "equivalent" synchronous ones. The bias estimates as well as the corresponding Cramer-Rao Lower Bound (CRLB) on the covariance of the bias estimates, i.e., the quantification of the available information on the sensor biases in any scenario are also given. Tracking performance evaluations with different sources of biases --- offset biases, scale biases and sensor location uncertainties, are also presented and we show that tracking performance is significantly improved with bias estimation and compensation compared with the target tracking using the original biased measurements. The performance is also close to the lower bound obtained in the absence of biases.

Citation Download Citation

Xiangdong Lin and Yaakov Bar-Shalom "Multisensor target-tracking performance with bias compensation", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591311 (15 September 2005); https://doi.org/10.1117/12.613771

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