Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICC.2009.5198635
DC Field | Value | |
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dc.title | A mutual information approach for comparing LLR metrics for iterative decoders | |
dc.contributor.author | Zhang, J. | |
dc.contributor.author | Armand, M.A. | |
dc.contributor.author | Pooi, Y.K. | |
dc.date.accessioned | 2014-04-24T08:32:48Z | |
dc.date.available | 2014-04-24T08:32:48Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Zhang, J.,Armand, M.A.,Pooi, Y.K. (2009). A mutual information approach for comparing LLR metrics for iterative decoders. IEEE International Conference on Communications : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICC.2009.5198635" target="_blank">https://doi.org/10.1109/ICC.2009.5198635</a> | |
dc.identifier.isbn | 9781424434350 | |
dc.identifier.issn | 05361486 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/51087 | |
dc.description.abstract | We develop an approach to compare different log-likelihood ratio (LLR) metrics for iterative soft decoding. We show that an LLR metric for a function of the received signals is a sufficient statistic to this function about the binary channel input. We also prove that when the function belongs to a set of specific mappings, the corresponding LLR metric can feed the maximal mutual information to the decoder. For decoding low density parity check codes with the belief-propagation decoder, we develop a method to estimate the minimal average number of iterations. The results are applied to compare the Gaussian metric in [1] and the two-symbol-observation-interval LLR metric in [2]. The latter is shown to be superior. ©2009 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICC.2009.5198635 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/ICC.2009.5198635 | |
dc.description.sourcetitle | IEEE International Conference on Communications | |
dc.description.page | - | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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