Persistent GMTI surveillance: theoretical performance bounds and some experimental results

Bhashyam Balaji; Anthony Damini; Kai Wang

doi:10.1117/12.849676

27 April 2010 Persistent GMTI surveillance: theoretical performance bounds and some experimental results

Bhashyam Balaji, Anthony Damini, Kai Wang

Author Affiliations +

Proceedings Volume 7669, Radar Sensor Technology XIV; 766910 (2010) https://doi.org/10.1117/12.849676
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In certain operational radar modes, slow ground moving targets are detected over several processing intervals using space-time adaptive processing. This enables use of Bayesian filtering and smoothing algorithms for estimation of time-varying moving target parameters. In this paper, some Bayesian filtering algorithms are investigated. The Cram´er-Rao bounds based on subsets of radar measurements (range, angle and Doppler) are derived for typical maneuvering targets and compared against simulated results from Bayesian filters. The performance is also evaluated using real data obtained from DRDC Ottawa's XWEAR radar.

Citation Download Citation

Bhashyam Balaji, Anthony Damini, and Kai Wang "Persistent GMTI surveillance: theoretical performance bounds and some experimental results", Proc. SPIE 7669, Radar Sensor Technology XIV, 766910 (27 April 2010); https://doi.org/10.1117/12.849676

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