关键词: 低密度奇偶校验码, 层调度, 量化, 最小和算法

Abstract: Hardware complexity of decoders，which is caused by storage and processing of massive information，is the major reason that encumbers LDPC codes from widely application.Reducing the quantization word length of decoding information can effectively decrease the hardware complexity.For the absolute value of information keeps increasing during decoding，short word length with finite quantization ranges will lead to serious saturation errors，which damages decoding performance.By gradually reducing the quantization precision，the quantization range can be expanded to meet the demand of changing of information.A dynamic quantization scheme is proposed to meet different noise environments and reduce the negative influence caused by quantization precision decreasing in a self-adaptive way.Results show that dynamic quantization scheme can greatly simplify the hardware complexity with very little lose of decoding performance.

Key words: Low Density Parity Check Codes（LDPC）, Turbo-Decode Message Passing（TDMP）, quantization, min-sum