Maximum likelihood estimation applied to quantum-limited optical position-sensing

B. J. Slocumb

doi:10.1117/12.2322208

1 September 1990 Maximum likelihood estimation applied to quantum-limited optical position-sensing

B. J. Slocumb

Proceedings Volume 1304, Acquisition, Tracking, and Pointing IV; (1990) https://doi.org/10.1117/12.2322208
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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.

Citation Download Citation

B. J. Slocumb "Maximum likelihood estimation applied to quantum-limited optical position-sensing", Proc. SPIE 1304, Acquisition, Tracking, and Pointing IV, (1 September 1990); https://doi.org/10.1117/12.2322208

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