1 research outputs found
CRC-Aided High-Rate Convolutional Codes With Short Blocklengths for List Decoding
Recently, rate-1/n zero-terminated (ZT) and tail-biting (TB) convolutional
codes (CCs) with cyclic redundancy check (CRC)-aided list decoding have been
shown to closely approach the random-coding union (RCU) bound for short
blocklengths. This paper designs CRC polynomials for rate- (n-1)/n ZT and TB
CCs with short blocklengths. This paper considers both standard rate-(n-1)/n CC
polynomials and rate- (n-1)/n designs resulting from puncturing a rate-1/2
code. The CRC polynomials are chosen to maximize the minimum distance d_min and
minimize the number of nearest neighbors A_(d_min) . For the standard
rate-(n-1)/n codes, utilization of the dual trellis proposed by Yamada et al.
lowers the complexity of CRC-aided serial list Viterbi decoding (SLVD).
CRC-aided SLVD of the TBCCs closely approaches the RCU bound at a blocklength
of 128. This paper compares the FER performance (gap to the RCU bound) and
complexity of the CRC-aided standard and punctured ZTCCs and TBCCs. This paper
also explores the complexity-performance trade-off for three TBCC decoders: a
single-trellis approach, a multi-trellis approach, and a modified
single-trellis approach with pre-processing using the wrap around Viterbi
algorithm.Comment: arXiv admin note: substantial text overlap with arXiv:2111.0792