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 accuracy 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.


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    Title :

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


    Additional title:

    Anwendung aller Maximum-Likelihood-Verfahren auf Quanten-begrenzte optische Positionierungssensoren


    Contributors:


    Publication date :

    1990


    Size :

    12 Seiten, 1 Bild, 1 Tabelle, 9 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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