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International Conference on ITS Telecommunications

A novel simple stopping criterion for the PCGC decoder

Xu Xiaojian, Li Jin, Hanying Hu

Published Jun 1, 2006• 0 citations
Publisher

Abstract

In this paper, in order to degrade the computation complexity and storage of the iterative decoder of parallel concatenated LDPC (low-density parity-check) codes, we propose a novel stopping criteria by using of the mean of the magnitude of the extrinsic information. We verify our algorithms with Monte Carlo simulation, and the results proved that the proposed rules outperforms the other existing criterions in terms of BER and average number of super iterations

DOI
10.1109/itst.2006.288892

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In this paper, in order to degrade the computation complexity and storage of the iterative decoder of parallel concatenated LDPC (low-density parity-check) codes, we propose a novel stopping criteria by using of the mean of the magnitude of the extrinsic information. We verify our algorithms with Monte Carlo simulation, and the results proved that the proposed rules outperforms the other existing criterions in terms of BER and average number of super iterations
The analog implementation of error control decoders is a competitive methodology compared with the digital implementation in power efficiency and throughput. In order to detect uncorrectable frames and early stop the iterative decoding of low-density parity check (LDPC) analog decoders, a probability stopping block using probabilities of satisfied checks is proposed. Simulation results show that the proposed criterion can greatly reduce the average number of iterations at low SNR, and has better tradeoff between complexity and performance than other stopping criteria using extrinsic information.
Nonbinary low-density parity-check (LDPC) codes over finite fields GF(q) have a better performance than those of the binary low-density parity-check codes, at short and medium block lengths, but the decoder of GF(q)-LDPC has more complexity. In this paper, a new stopping criterion is proposed. Based on the changes of the variance of variable node¿s extrinsic information, the criterion can predict a decoding failure and decide whether the iteration of the decoder should be stopped. The simulation results show that the stopping criterion can greatly reduces the average number of required iterations of GF(q)-LDPC decoder with negligible performance loss.
Low density parity check (LDPC) codes are amongst the most powerful codes known today. They are decoded iteratively by a message-passing algorithm. For this, an inherent stopping criterion exists for decodable blocks based on parity checks. For undecodable blocks, typically, a fixed number of iterations are carried out before the decoding procedure is terminated, which is a waste of energy and time. We present a stopping criterion which detects undecodable blocks in an early stage of the decoding process. The novel stopping criterion works for floating and fixed point implementations. It greatly reduces the average number of required iterations without any loss in communication performance.
Nonbiliary low-density parity-check (LDPC) codes can lead to excellent error performance while the codewords are of short or moderate length. However, the high decoding complexity of nonbiliary LDPC codes inevitably depreciates their practical values. The computational bottleneck arises from the check node processing in the iterative message passing (MP) algorithms which terminate when either all parity checks are satisfied or the maximum iteration number is reached. We have observed that for undecodable blocks, the MP algorithms always run up to the maximum iteration limit and therefore cannot generate the correct codeword. Thus, it would be better to terminate the algorithms early so as to save the unnecessary computational time and reduce the extra power consumption when undecodable blocks are experienced. In this paper, we propose a new T-tolerance stopping criterion for LDPC decoders by exploiting the fact that the total a posteriori probability (APP) should increase as the iteration number grows. Simulation results demonstrate that our proposed new T-tolerance criterion can greatly reduce the average iteration number (complexity) while restricting the decoding performance degradation within 0.1 dB in low bit-energy-to-noise ratio scenarios.