Signal estimation in Bayesian field tracking

Robert G. Lindgren; Robert W. Petersen

doi:10.1117/12.281418

22 September 1997 Signal estimation in Bayesian field tracking

Robert G. Lindgren, Robert W. Petersen

Proceedings Volume 3110, 10th Meeting on Optical Engineering in Israel; (1997) https://doi.org/10.1117/12.281418
Event: 10th Meeting on Optical Engineering in Israel, 1997, Jerusalem, Israel

Abstract

Bayesian field tracking, in which a posterior target distribution over the entire position-velocity state space, is a track-before-detect approach with a demonstrated capability to track at SNR levels below those for which the usual Kalman-based tracker is functional. Development of the Bayesian posterior probabilities is recursive and is driven by likelihood fields evaluated from successive measurement observations. Previous Bayesian field tracker applications have constructed likelihood fields assuming a prior signal amplitude distribution that has remained unchanged throughout processing. In this paper we combine a 1D Kalman filter with the diffusive projection of the Bayesian field tracker to estimate an amplitude distribution at each point of the state-space field. Results show that this approach can provide likelihood growth approaching that for a known signal amplitude.

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Robert G. Lindgren and Robert W. Petersen "Signal estimation in Bayesian field tracking", Proc. SPIE 3110, 10th Meeting on Optical Engineering in Israel, (22 September 1997); https://doi.org/10.1117/12.281418

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KEYWORDS

Signal processing

Electronic filtering

Signal detection

Signal to noise ratio

Interference (communication)

Target detection

Signal attenuation

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