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Proceedings Paper

Resolving transmitter-of-opportunity origin uncertainty in passive coherent location systems
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Paper Abstract

Passive Coherent Location (PCL) systems use existing commercial signals (e.g., FM broadcast, digital TV) as the illuminators of opportunity in air defence systems. PCL Sytems have many advantages such as low cost, covert operation and low vulnerability to electronic counter measures, over conventional radar systems. The main disadvantage of PCL systems is that the transmitter locations and the transmitted signals cannot be controlled. Thus, it is possible to have multiple transmitters that transmit the same signal/frequency inside the coverage region of the receiver. Thus, multiple measurements that originated from different transmitters and reflected by the same target will be received. Even though using multiple transmitters will facilitate better estimates of the target states due to spatial diversity, one cannot use these measurements without resolving transmitter and measurement origin uncertainties. This adds another level of complexity to the standard data association problem where the uncertainty is only in measurement origins. That is, there are two uncertainties that need to be resolved in order to track multiple targets. One is the measurement-to-target association and the other is the measurement-to-transmitter association. In this work, a tracking algorithm is proposed to track multiple targets using PCL systems with the above data association uncertainties. The efficiency of the proposed algorithm is demonstrated on realistically simulated data.

Paper Details

Date Published: 1 September 2009
PDF: 10 pages
Proc. SPIE 7445, Signal and Data Processing of Small Targets 2009, 744506 (1 September 2009); doi: 10.1117/12.826410
Show Author Affiliations
R. Tharmarasa, McMaster Univ. (Canada)
N. Nandakumaran, McMaster Univ. (Canada)
Mike McDonald, Defence Research and Development Canada (Canada)
T. Kirubarajan, McMaster Univ. (Canada)


Published in SPIE Proceedings Vol. 7445:
Signal and Data Processing of Small Targets 2009
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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