Search-efficient MIMO trellis decoder

Pulse or digital communications – Receivers – Interference or noise reduction

Reexamination Certificate

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C375S260000, C375S262000, C375S267000, C375S299000, C375S341000, C455S101000, C704S242000, C714S795000

Reexamination Certificate

active

10643774

ABSTRACT:
A decoder generates distance and label metrics associated with each label of a coset transmitted in a multi-input multi-output communication system having Mttransmit antennas and Mrreceive antennas by performing 2(u+n)(Mt−1)searches, where n is the number of encoded bits used to identify one of 2ncosets at the transmitting end and u is the number of unencoded bits used to select one of 2ulabels at the transmitting end. The decoder forms an intermediate vector quantity associated with one of the transmit antennas to compute the metrics associated with each of the remaining transmit antennas. The decoder then forms a second intermediate vector quantity to compute the metrics associated with the transmit antenna that was used to form the first intermediate variable. The metrics so computed are used by a Viterbi decoder to identify the coset and the most likely transmitted label in that coset.

REFERENCES:
patent: 4891823 (1990-01-01), Cole
patent: 6473467 (2002-10-01), Wallace et al.
Ungerboeck, “Trellis-Coded Modulation with Redundant Signal Sets Part I,” IEEE Communications Magazine, vol. 25, No. 2, Feb. 1987.
Ungerboeck, “Trellis-Coded Modulation with Redundant Signal Sets Part II,” IEEE Communications Magazine, vol. 25, No. 2, Feb. 1987.
Viterbi, “Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm,” IEEE Trans. on Information Theory, vol. IT-13, No. 2, Apr. 1967.
G. D. Forney, Jr., “Maximum-Likelihood Sequence Detection in the Presence of Intersymbol Interference,” IEEE Trans. on Information Theory, vol. IT-18, No. 3, pp. 363-378, May 1972.
G. D. Forney, Jr., “The Viterbi Algorithm,” IEEE Proceedings, vol. 61, pp. 268-278, No. 3, Mar. 1973.

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