Passive tracking with sensors of opportunity using passive coherent location

Mahes Subramaniam; R. Tharmarasa; Mike McDonald; T. Kirubarajan

doi:10.1117/12.779598

16 April 2008 Passive tracking with sensors of opportunity using passive coherent location

Mahes Subramaniam, R. Tharmarasa, Mike McDonald, T. Kirubarajan

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69691F (2008) https://doi.org/10.1117/12.779598
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Passive coherent location (PCL), which uses the commercial signals as illuminators of opportunity, is an emerging technology in air defense systems. The advantages of PCL are low cost, low vulnerability to electronic counter measures, early detection of stealthy targets and low-altitude detection. However, limitations of PCL include lack of control over illuminators, poor bearing accuracy, time-varying sensor parameters and limited observability. In this paper, multiple target tracking using PCL with high bearing error is considered. In this case, the challenge is to handle high nonlinearity due to high measurement error. In this paper, we implement the converted measurement Kalman filter, unscented Kalman filter and particle filter based PHD filter for PCL radar measurements and compare their performances.

Citation Download Citation

Mahes Subramaniam, R. Tharmarasa, Mike McDonald, and T. Kirubarajan "Passive tracking with sensors of opportunity using passive coherent location", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69691F (16 April 2008); https://doi.org/10.1117/12.779598

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