从易于硬件实现的角度，提出了一种基于均匀量化器的随机量化方法。证明了该方法在所加噪声满足一定条件时，其量化信号的数学期望等于相应的量化输入值。分析了所加噪声对量化动态范围的影响。利用计算机模拟，对量化输出平均值的分布规律及其与反复量化次数和所加噪声取值域的关系进行了分析研究，为以后设计量化器提供了依据。 From the perspective of easy hardware implementation, a random quantization method based on uniform quantizer is proposed. It is proved that the mathematical expectation of the quantized signal is equal to the corresponding quantized input value when the added noise satisfies a certain condition. The effect of added noise on the quantization dynamic range is analyzed. Using computer simulation, we study the distribution law of the average value of the quantized output and its relationship with the number of repeated quantization and the range of added noise, which provides the basis for the design of the quantizer in the future.