Estimation of log-likelihood using constrained markov-chain...

Details Estimation of log-likelihood using constrained markov-chain... Estimation of log-likelihood using constrained markov-chain...

2008-07-14

2011-10-25

Corrielus, Jean B (Department: 2611)

Pulse or digital communications

Testing

C375S340000

Reexamination Certificate

active

08045604

ABSTRACT:
Log likelihood ratios for data bits transmitted in a multi-dimensional signal are estimated using multiple Markov chain Monte Carlo simulations (MCMC). The MCMC simulations can include constraining symbols based on a most-likely symbol to improve the likelihood of finding distances for non-most-likely symbols. The log likelihood ratios can be calculated based on distances of the most-likely symbol and the non-most-likely symbols.

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