PHY 23-1 - Iterative Unequal Length Search Syndrome Decoding for Product Codes

@inproceedings{citeulike:2883708, abstract = {In this paper, Iterative Unequal Length Search (ULS) Syndrome Decoding for Product Codes is proposed by introducing an idea of unequal length search space. The principle and realization of the algorithm is presented. Moreover, a mathematical performance and decoding complexity analysis is illustrated. Compared to the conventional Equal Length Search (ELS) Syndrome algorithm, experimental results indicate that the iterative ULS syndrome decoding algorithm, not only significantly reduces the decoding complexity, but also improves the error-correcting performance. Because of the balance between the odd and even circuits, the speed of parallel processing is increased and hardware resources are saved accordingly. Simulations results have shown that the proposed algorithm leads to a decrease of 25\%~30\% of search complexity and a gain of 0.3 dB in the BER performance for various subcodes.}, author = {Qiao, Yantao and Shimamoto, S. and Wang, Hu and Chen, Wen and Song, Chunyi }, booktitle = {Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE}, citeulike-article-id = {2883708}, doi = {10.1109/WCNC.2008.110}, journal = {Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE}, keywords = {decoder, iterative}, pages = {593--598}, posted-at = {2008-06-11 21:12:36}, priority = {2}, title = {PHY 23-1 - Iterative Unequal Length Search Syndrome Decoding for Product Codes}, url = {http://dx.doi.org/10.1109/WCNC.2008.110}, year = {2008} }

TY - CONF ID - citeulike:2883708 L3 - citeulike-article-id:2883708 TI - PHY 23-1 - Iterative Unequal Length Search Syndrome Decoding for Product Codes T2 - Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE JF - Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE SP - 593 EP - 598 N2 - In this paper, Iterative Unequal Length Search (ULS) Syndrome Decoding for Product Codes is proposed by introducing an idea of unequal length search space. The principle and realization of the algorithm is presented. Moreover, a mathematical performance and decoding complexity analysis is illustrated. Compared to the conventional Equal Length Search (ELS) Syndrome algorithm, experimental results indicate that the iterative ULS syndrome decoding algorithm, not only significantly reduces the decoding complexity, but also improves the error-correcting performance. Because of the balance between the odd and even circuits, the speed of parallel processing is increased and hardware resources are saved accordingly. Simulations results have shown that the proposed algorithm leads to a decrease of 25%~30% of search complexity and a gain of 0.3 dB in the BER performance for various subcodes. KW - decoder KW - iterative AU - Qiao, Yantao AU - Shimamoto, S AU - Wang, Hu AU - Chen, Wen AU - Song, Chunyi PY - 2008/// UR - http://dx.doi.org/10.1109/WCNC.2008.110 ER -