Iterative Channel Estimation for Nonbinary LDPC-Coded OFDM Signals
Author(s) -
Giacomo Bacci,
Marco Della Maggiora,
Marco Luise
Publication year - 2011
Publication title -
isrn signal processing
Language(s) - English
Resource type - Journals
eISSN - 2090-505X
pISSN - 2090-5041
DOI - 10.5402/2011/254597
Subject(s) - low density parity check code , orthogonal frequency division multiplexing , channel (broadcasting) , computer science , algorithm , context (archaeology) , decoding methods , multipath propagation , binary number , code (set theory) , filter (signal processing) , wiener filter , electronic engineering , theoretical computer science , telecommunications , mathematics , engineering , arithmetic , paleontology , set (abstract data type) , computer vision , biology , programming language
This work deals with the issue of channel estimation in the context of non-binary LDPC-codedOFDM systems over doubly selective multipath channels. In particular, we show how to derive aniterative Wiener-filter-based estimation method using both time and frequency channel correlation andconsidering the particular characteristics of the channel code. The proposed algorithm can use eithersoft information or hard decisions fed back by the decoder to refine the channel estimation, so as toimprove the system performance at the expense of an increased receiver complexity. Simulation resultsunder typical working conditions are presented to compare the performance of the proposed methodwith respect to classical techniques.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom