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Fourier series and estimation: An application to optical phase tracking

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2 Author(s)
Marcus, S.I. ; The University of Texas at Austin, Austin, Texas ; Kohanbash, K.

Methods of Fourier analysis and an assumed folded normal density approximation are applied to a nonlinear estimation problem in which the observation consists of a doubly stochastic Poisson process. A particular application to optical phase tracking is discussed. The performance, as computed by Monte Carlo simulation, of the resulting suboptimal estimator compares favorably to that of the "quasi-optimum" estimator of Snyder.

Published in:

Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on  (Volume:16 )

Date of Conference:

Dec. 1977

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