Name
Abstract | ||
|---|---|---|
In this article, a new method for performance evaluation of turbo-like codes is presented. This is based on estimating the probability density function (pdf) of the bit log-likelihood-ratio (LLR) using higher order statistics. We do not restrict ourselves to any specific model for the pdf and try to estimate it directly using a cumulant matching method. Numerical results show a close agreement between the proposed method and simulations. The complexity of this method is similar to the Monte-Carlo simulation with the advantage of providing similar accuracy using significantly fewer samples. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICC.2007.167 | IEEE Transactions on Communications |
Keywords | DocType | Volume |
turbo-like codes,turbo codes,probability density function,log-likelihood-ratio,monte-carlo simulation,cumulant matching method,higher order statistics,monte carlo methods,performance evaluation,quadrature amplitude modulation,parameter estimation,signal to noise ratio,cumulant,monte carlo simulation,awgn,log likelihood ratio | Conference | 55 |
Issue | ISSN | ISBN |
11 | 1550-3607 | 1-4244-0353-7 |
Citations | PageRank | References |
5 | 0.68 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Abedi | 1 | 64 | 12.26 |
| Mary Thompson | 2 | 7 | 1.09 |
| Amir K. Khandani | 3 | 674 | 75.15 |