Title :
LDPC code optimization for diversity reception and turbo equalization
Author :
Schorr, T. ; Matuszak, M. ; Sauer-Greff, W. ; Urbansky, R.
Author_Institution :
Commun. Eng., Univ. of Kaiserslautern, Kaiserslautern, Germany
Abstract :
Iterative “turbo” decoding of parallel or serial concatenated convolutional codes (CC) allows for a performance close to Shannon´s channel capacity limit. Whereas “turbo” equalization (TE) for intersymbol interference (ISI) channels corresponds to serial concatenation, we show that the turbo decoding principle for parallel concatenation can be extended to a diversity receiver concept. “Turbo diversity” outperforms maximum-ratio combining (MRC) in forward error correction (FEC) encoded broadcast systems like “Digital Radio Mondiale” (DRM). In addition, we apply low-density parity-check (LDPC) codes instead of CC to turbo equalization and to turbo diversity, where an LDPC code design using fitted extrinsic information transfer (EXIT) functions is applied to optimize the system performance.
Keywords :
concatenated codes; convolutional codes; diversity reception; equalisers; forward error correction; iterative decoding; parity check codes; turbo codes; LDPC code optimization; Shannon´s channel capacity limit; digital radio mondiale; diversity reception; extrinsic information transfer functions; forward error correction; intersymbol interference channels; iterative turbo decoding; low-density parity-check codes; maximum-ratio combining; parallel concatenated convolutional codes; serial concatenated convolutional codes; turbo equalization;
Conference_Titel :
Signal Processing Algorithms, Architectures, Arrangements and Applications, 2007
Conference_Location :
Poznan
Print_ISBN :
978-1-4244-1514-4
Electronic_ISBN :
978-1-4244-1515-1
DOI :
10.1109/SPA.2007.5903301