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Yuhang Yang

Publications and source records attributed to Yuhang Yang.

57 records · Page 4Linked to original sources

Comments on A New Parity Check Stopping Criterion for Turbo Decoding

A parity-check stopping (PCS) criterion for turbo decoding is proposed in [1], which shows its priority compared with the stopping criteria of Sign Change Ratio (SCR), Sign Difference Ratio (SDR), Cross Entropy (CE) and improved CEbased (Yu) method. But another well-known simple stopping criterion named Hard-Decision-Aided (HDA) criterion has not been compared in [1]. In this letter, through analysis we show that using max-log-MAP algorithm, PCS is equivalent to HDA; while simulations demonstrate that using log-MAP algorithm, PCS has nearly the same performance as HDA.

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A CRC-aided Hybrid Decoding for Turbo Codes

Turbo codes and CRC codes are usually decoded separately according to the serially concatenated inner codes and outer codes respectively. In this letter, we propose a hybrid decoding algorithm of turbo-CRC codes, where the outer codes, CRC codes, are not used for error detection but as an assistance to improve the error correction performance. Two independent iterative decoding and reliability based decoding are carried out in a hybrid schedule, which can efficiently decode the two different codes as an entire codeword. By introducing an efficient error detecting method based on normalized Euclidean distance without CRC check, significant gain can be obtained by using the hybrid decoding method without loss of the error detection ability.

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Joint Shortening and Puncturing Optimization for Structured LDPC Codes

The demand for flexible broadband wireless services makes the pruning technique, including both shortening and puncturing, an indispensable component of error correcting codes. The analysis of the pruning process for structured lowdensity parity-check (LDPC) codes can be considerably simplified with their equivalent representations through base-matrices or protographs. In this letter, we evaluate the thresholds of the pruned base-matrices by using protograph based on extrinsic information transfer (PEXIT). We also provide an efficient method to optimize the pruning patterns, which can significantly improve the thresholds of both the full-length patterns and the sub-patterns. Numerical results show that the structured LDPC codes pruned by the improved patterns outperform those with the existing patterns.

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