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Proceedings Paper

Signal estimation in Bayesian field tracking
Author(s): Robert G. Lindgren; Robert W. Petersen
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Paper 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.

Paper Details

Date Published: 22 September 1997
PDF: 17 pages
Proc. SPIE 3110, 10th Meeting on Optical Engineering in Israel, (22 September 1997); doi: 10.1117/12.281418
Show Author Affiliations
Robert G. Lindgren, Arete Associates (United States)
Robert W. Petersen, Arete Associates (United States)

Published in SPIE Proceedings Vol. 3110:
10th Meeting on Optical Engineering in Israel
Itzhak Shladov; Stanley R. Rotman, Editor(s)

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