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Proceedings Paper

Integrated bias removal in passive radar systems
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Paper 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.

Paper Details

Date Published: 16 April 2008
PDF: 10 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690Q (16 April 2008); doi: 10.1117/12.779257
Show Author Affiliations
M. Subramaniam, McMaster Univ. (Canada)
K. Punithakumar, McMaster Univ. (Canada)
M. McDonald, Defence Research and Development Canada (Canada)
T. Kirubarajan, McMaster Univ. (Canada)

Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)

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