Recursive systematic convolutional codes and application to parallel concatenation
Punya Thitimajshima
Abstract
Punya Thitimajshima
Abstract
This paper deals with a new class of convolutional codes called recursive systematic convolutional (RSC) codes. These codes are very attractive when compared with the best known convolutional codes at low signal to noise ratio (SNR) and high code rate. A comparison with the best known convolutional codes is performed in terms of weight spectrum and bit error rate (BER) on a memoryless Gaussian channel. A new design of parallel concatenation is proposed, well matched to RSC codes and much more attractive than serial concatenation for it needs only one clock timing recovery for the decoding.
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This paper deals with a new class of convolutional codes called recursive systematic convolutional (RSC) codes. These codes are very attractive when compared with the best known convolutional codes at low signal to noise ratio (SNR) and high code rate. A comparison with the best known convolutional codes is performed in terms of weight spectrum and bit error rate (BER) on a memoryless Gaussian channel. A new design of parallel concatenation is proposed, well matched to RSC codes and much more attractive than serial concatenation for it needs only one clock timing recovery for the decoding.
Key concepts: Convolutional code, Concatenation (mathematics), Serial concatenated convolutional codes, Concatenated error correction code, Computer science, Linear code, Turbo code, Algorithm