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Proceedings Paper

Maximum likelihood estimation applied to quantum-limited optical position-sensing
Author(s): B. J. Slocumb
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Paper Abstract

Star-tracking systems, optical communication systems, and infrared tracking systems are examples in which the measurement and correction of alignment errors between the optical source and receiver must be made. In this paper, we develop a new position estimator that retains curacy even under poor SNR conditions. This estimator is derived using an estimation theoretic approach to the problem of tracking a quasi-stationary object given photoevent data in a continuously distributed detector. We derive a maximum likelihood position estimator via application of the expectation-maximization (EM) algorithm. Simulation results are given to show that under low SNR conditions, the estimator performance is superior to that of the commonly used centroid estimator.

Paper Details

Date Published: 1 September 1990
Proc. SPIE 1304, Acquisition, Tracking, and Pointing IV, (1 September 1990); doi: 10.1117/12.2322208
Show Author Affiliations
B. J. Slocumb, Georgia Tech Research Institute (United States)

Published in SPIE Proceedings Vol. 1304:
Acquisition, Tracking, and Pointing IV
Sankaran Gowrinathan, Editor(s)

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