Integrated bias removal in passive radar systems

M. Subramaniam; K. Punithakumar; M. McDonald; T. Kirubarajan

doi:10.1117/12.779257

16 April 2008 Integrated bias removal in passive radar systems

M. Subramaniam, K. Punithakumar, M. McDonald, T. Kirubarajan

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69690Q (2008) https://doi.org/10.1117/12.779257
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

A passive coherent location (PCL) system exploits the ambient FM radio or television signals from powerful local transmitters, which makes it ideal for covert tracking. In a passive radar system, also known as PCL system, a variety of measurements can be used to estimate target states such as direction of arrival (DOA), time difference of arrival (TDOA) or Doppler shift. Noise and the precision of DOA estimation are main issues in a PCL system and methods such as conventional beam forming (CBF) algorithm, algebraic constant modulus algorithm (ACMA) are widely analyzed in literature to address them. In practical systems, although it is necessary to reduce the directional ambiguities, the placement of receivers closed to each other results in larger bias in the estimation of DOA of signals, especially when the targets move off bore-sight. This phenomenon leads to degradation in the performance of the tracking algorithm. In this paper, we present a method for removing the bias in DOA to alleviate the aforementioned problem. The simulation results are presented to show the effectiveness of the proposed algorithm with an example of tracking airborne targets.

Citation Download Citation

M. Subramaniam, K. Punithakumar, M. McDonald, and T. Kirubarajan "Integrated bias removal in passive radar systems", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690Q (16 April 2008); https://doi.org/10.1117/12.779257

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