提出一种低密度校验码快速量化置信传播译码算法 ,其中量化电平标号作为定点算术操作数 ,运算由寻址表完成 ,中间计算以较高精度包含在表中 .该算法具有明显低的时间复杂度 ,应用对称特性 ,可以显著降低所需存储容量 ;在不增加复杂度的前提下 ,可以方便地实现均匀及各种为改进性能而设计的非均匀量化方案 ;适当增加复杂度还可实现时变译码 .该算法使低密度校验码在实际通信系统中的应用成为可能 ,同时它也用于实现快速仿真系统 .仿真结果表明 ,6bit非均匀量化优于均匀量化 0 2dB ,低信噪比时已经接近连续译码 ,而高信噪比时比连续译码差 0 2dB .合适的高阶量化译码可以获得接近连续译码的性能 ,高信噪比时甚至优于连续译码 . A fast quantized belief propagation decoding algorithm for low-density parity-check codes is proposed, in which the quantization level label is used as a fixed-point arithmetic operand, the operation is completed by the addressing table, and the intermediate calculation is included in the table with higher accuracy. Of the time complexity, the application of symmetry can significantly reduce the required storage capacity; without increasing the complexity of the premise, you can easily achieve uniform and a variety of non-uniform quantitative design to improve the performance of the program; the appropriate increase in complexity also Which can make the time-variant decoding possible.The algorithm makes it possible to use LDPC codes in practical communication systems, and it is also used to implement fast simulation system.The simulation results show that the 6bit non-uniform quantization is better than the uniform quantization 0 2dB, Low signal to noise ratio has been close to continuous decoding, and high SNR than the continuous decoding of 0 2dB. Suitable high-order quantization decoding can be obtained near continuous decoding performance, high SNR even better than continuous Decoding.