Detector and method for estimating data probability in a multi-channel receiver
First Claim
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1. A detector for estimating channel data probabilities in a multi-channel communication system comprising:
- a receiver configured to receive a multi-channel signal and output an observed signal;
a Gibbs sampler circuit coupled to the receiver and configured to generate stochastically selected channel data hypotheses based in part on the observed signal and a channel model; and
a channel data probability estimator coupled to the receiver and coupled to the Gibbs sampler circuit and configured to estimate channel data probabilities by summing conditional data probabilities conditioned on the observed signal and the stochastically selected channel data hypotheses.
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Abstract
A detector and method for estimating channel data probability in a multi-user or multiple-input multiple-output communication system includes summing conditional bit probabilities conditioned on hypothetical channel data patterns over stochastically selected hypothetical channel data patterns. Various detailed hardware structures and circuits are also described.
16 Citations
11 Claims
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1. A detector for estimating channel data probabilities in a multi-channel communication system comprising:
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a receiver configured to receive a multi-channel signal and output an observed signal; a Gibbs sampler circuit coupled to the receiver and configured to generate stochastically selected channel data hypotheses based in part on the observed signal and a channel model; and a channel data probability estimator coupled to the receiver and coupled to the Gibbs sampler circuit and configured to estimate channel data probabilities by summing conditional data probabilities conditioned on the observed signal and the stochastically selected channel data hypotheses. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for estimating channel data likelihoods in a multi-channel communications system comprising:
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receiving a multi-channel communications signal at a multi-channel communications system receiver to form an observed signal; generating stochastically-selected channel data hypotheses using a Markov chain Monte Carlo simulation within electronic circuitry coupled to the receiver; determining conditional bit probabilities conditioned on the stochastically-selected channel data hypotheses and the observed signal within the electronic circuitry; and forming a channel data likelihood based on the conditional bit probabilities within the electronic circuitry, wherein forming a channel data likelihood comprises summing the conditional bit probabilities to form channel data bit probabilities corresponding to each possible value for a channel data bit . - View Dependent Claims (8, 9, 10, 11)
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Specification