“…In [1], Sana Hamida et al proposed an adaptive quantization algorithm, which adjusts the quantization threshold adaptively to reduce the bit error rate; In [2][3], a two-threshold quantization algorithm is adopted, the algorithm quantizes the value larger than the upper threshold to '1', smaller than the quantization of the lower threshold to '0', and discards the sampling value between the upper and lower thresholds, the uncertainty of quantization interval of sampled value is reduced, but the quantization factor of the algorithm is a fixed value, and there is no specific analysis of the value of the quantization factor to the key generation process; In [4], Wenbing Cai et al taked the key length as the objective function, computed the optimal quantization factor when using the two-threshold quantization to generate the longer key, so that the key length of each sample value increased at least 0.1 bits, but the algorithm quantization deleted a lot of the original information, in essence, or shorten the length of the generated key. In [5], Chan Chen et al proposed a CQA (Channel Quantization Alternating) quantization algorithm, which achieves reducing the error rate by exchanging the quantization error information and moving the quantization threshold of the other communication side; Reference [6] based on [5] taked the key length as the objective function to compute optimal number of quantization bits for the longest key length.…”