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Accelerating BP-Based Iterative Low-Density Parity-Check Decoding by Modified Vertical and Horizontal Processes |
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| Authors: | CHEN Jing-wen YANG Feng-fan LUO Lin THO Le-Ngoc |
| Affiliation: | 1. College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 2. College of Information Science and Engineering, Southeast University, Nanjing 210096, China 3. Department of Electrical and Computer Engineering, McGill University, Montreal, H3A 2A7, Quebec, Canada |
| Abstract: | Two modified BP algorithms related to vertical and horizontal processes are proposed to accelerate iterative low-density parity-check (LDPC) decoding over an additive white Gaussian noise (AWGN) channel, where the newly updated extrinsic information is immediately used in the current decoding round. Theoretical analysis and simulation results demonstrate that both the modified approaches provide significant performance improvements over the traditional BP algorithm with almost no additional decoding complexity. The proposed algorithm with modified horizontal process offers even better performance than another algorithm with the modified horizontal process. The two modified BP algorithms are very promising in practical communications since both can achieve an excellent trade-off between the performance and decoding complexity. |
| Keywords: | LDPC codes Iterative decoding BP algorithm Extrinsic information Horizontal process Vertical process |
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