Maximum a posteriori decoder for digital communications

Details Maximum a posteriori decoder for digital communications Maximum a posteriori decoder for digital communications

1995-07-03

1997-04-08

Chin, Stephen

Pulse or digital communications

Receivers

Angle modulation

375324, H03D 300

Patent

active

056195370

ABSTRACT:
A system and method for decoding by identification of the most likely phase coded signal corresponding to received data. The present invention has particular application to communication with signals that experience spurious random phase perturbations. The generalized estimator-correlator uses a maximum a posteriori (MAP) estimator to generate phase estimates for correlation with incoming data samples and for correlation with mean phases indicative of unique hypothesized signals. The result is a MAP likelihood statistic for each hypothesized transmission, wherein the highest value statistic identifies the transmitted signal.

REFERENCES:
patent: 4187719 (1993-02-01), Birgenheier et al.
patent: 4554509 (1985-11-01), Cornett
patent: 4656648 (1987-04-01), Vallet
patent: 4660166 (1987-04-01), Hopfield
patent: 4719591 (1988-01-01), Hopfield et al.
patent: 4809193 (1989-02-01), Jourjine
patent: 4847871 (1989-07-01), Matsushita et al.
patent: 4873661 (1989-10-01), Tsividis
patent: 4885757 (1989-12-01), Provence
patent: 5081645 (1992-01-01), Resnikoff et al.
patent: 5303269 (1994-04-01), Altes
"Maximum Posterior Probability Demodulation of Angle-Modulated Signals", D.W. Tufts and J.T. Francis, IEEE Transactions on Aerospace and Electronic Systems, vol. AES-15, No. 3, Mar. 1979, pp 219-227.
"Electronic Implementation of Associative Memory Based on Neural Network Models", A. Moopenn, John Lambe, and A.P. Thakoor, IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-17, No. 2, Mar.-Apr., 1987, pp. 325-331.
"Programmable Synaptic Devices for Electronic Neural Nets", A. Moopenn and A.P. Thakoor, Proc. 5th IASTED Int'l Conf. on Expert Systems and Neural Networks, Aug., 1989, pp. 36-40.
"Optical Implementation of the Hopfield Model", N.H. Farhat, D. Psaltis, A. Prata, and E. Paek, Applied Optics 24 (1985), pp. 1469-1475.
"Simple `Neural` Optimization Networks: An A/D Converter, Signal Decision Circuit, and a Linear Programming Circuit", David W. Tank and John J. Hopfield, IEEE Transactions on Circuits and Systems, vol. CAS-33, No. 5, May, 1986, pp. 533-541.
"Unconstrained Minimum Mean-Square Error Parameter Estimation with Hopfield Networks", Richard A. Altes, IEEE International Conference on Neural Networks, San Diego, California, Jul., 1988.
John D. Provence--Proceeding of 1988 IEEE International Sympoisum on Circuits and Systems; pp. 2382 through 2385; Dated Jun. 7-9, 1988; Title: Neural Network Implementation for an Adaptive Miximum-Likelihood Receiver.
Peterson, W. Wesley, Error-Correcting Codes, MIT Press, Cambridge, Mass., 1961, pp. 137-182.
Proakis, John G., Digital Communications,2nd Ed., McGraw-Hill, New York, 1989, pp. 429-432.

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