Estimation and tracking for deep-space optical communications

Details Estimation and tracking for deep-space optical communications Estimation and tracking for deep-space optical communications

Jun 1989

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989spie.1059...80w&link_type=abstract

IN: Space sensing, communications, and networking; Proceedings of the Meeting, Los Angeles, CA, Jan. 16-18, 1989 (A90-31926 13-1

Computer Science

Computerized Simulation, Deep Space, Earth Albedo, Error Analysis, Maximum Likelihood Estimates, Optical Communication, Ground-Air-Ground Communication, Monte Carlo Method, Poisson Density Functions

Scientific paper

The importance of pointing and tracking is demonstrated with current deep-space optical communications system concepts. Maximum-likelihood (ML), minimum square counting-error (MSCE), and maximum product (MP) estimation algorithms (or decision rules) are derived to estimate the location of the receiving station to subpixel resolution. Comparisons of the above algorithms are made, via Monte Carlo computer simulation, in terms of estimator's bias and variance. Optical communication link analyses are made for a typical earth-Mars scenario, to gain engineering insights. It is observed that both the ML rule and the MSCE rule perform better than the MP rule.

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