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引用次数: 1
摘要
噪声梯度下降比特翻转(NGDBF)算法超越了之前的梯度下降比特翻转(GDBF)和其他用于解码低密度奇偶校验(LDPC)码的比特翻转(BF)算法。然而,NGDBF解码器有时无法摆脱局部极大值。为了进一步提高NGDBF算法的性能,本文提出了一种改进的NGDBF算法——Tabu-List noise Gradient Descent Bit flip (TNGDBF)。一个禁忌列表被用来帮助NGDBF解码器摆脱局部最大值。仿真结果表明,与NGDBF相比,TNGDBF算法的性能提高了0.2 dB左右,但复杂度只增加了少量。
Tabu-List Noisy Gradient Descent Bit Flipping Decoding of LDPC Codes
The Noisy Gradient Descent Bit Flipping (NGDBF) algorithm surpasses the previous Gradient Descent Bit Flipping (GDBF) and other Bit Flipping (BF) algorithms for decoding Low-Density Parity-Check (LDPC) codes. However, the NGDBF decoder sometimes cannot escape from the local maxima. To further enhance the performance of the NGDBF algorithm, an improved NGDBF algorithm called Tabu-List Noisy Gradient Descent Bit Flipping (TNGDBF) is proposed in this paper. A tabu-list is employed to help the NGDBF decoder escape from the local maxima. It is shown in the simulation results that the TNGDBF algorithm gains about 0.2 dB performance compared with NGDBF at the cost of a small amount of complexity increase.