Title :
Weighted nonbinary repeat-accumulate codes
Author :
Yang, Kyeongcheol
Author_Institution :
Dept. of Electron. & Electr. Eng., Pohang Univ. of Sci. & Technol., Kyungbuk, South Korea
fDate :
3/1/2004 12:00:00 AM
Abstract :
Repeat-accumulate (RA) codes are random-like codes having remarkably good performance over an additive white Gaussian noise (AWGN) channel, like turbo and low-density parity-check (LDPC) codes. In this correspondence, we introduce an ensemble of random codes called "weighted nonbinary repeat-accumulate (WNRA) codes" whose encoder consists of a nonbinary repeater, a weighter, a pseudorandom symbol interleaver, and an accumulator over a finite field GF(q). They can be decoded in a simple way by applying the sum-product algorithm to their factor graphs over GF(q). Simulation results show that WNRA codes with proper weighting values over GF(4) or GF(8) are superior to binary RA codes on AWGN channels.
Keywords :
AWGN channels; Galois fields; channel coding; interleaved codes; iterative decoding; random codes; AWGN; LDPC codes; RA code; WNRA codes; additive white Gaussian noise channel; factor graphs; iterative decoding; low-density parity-check; pseudorandom symbol interleaver; sum-product algorithm; turbo code; weighted nonbinary repeat-accumulate codes; AWGN channels; Additive white noise; Bit error rate; Error correction codes; Galois fields; Iterative algorithms; Iterative decoding; Parity check codes; Repeaters; Turbo codes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2004.825255