The key quantization method based on membership

Xinyu Li; Bin Wang; Xingyu Xiao; Gang Xin; Yan Huang

doi:10.1117/12.3005163

20 October 2023 The key quantization method based on membership

Xinyu Li, Bin Wang, Xingyu Xiao, Gang Xin, Yan Huang

Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 129162G (2023) https://doi.org/10.1117/12.3005163
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China

Abstract

In the underwater acoustic physical layer key generation system, the environmental noise has a great impact on the quantization of the observation sequence. However, the quantization method based on the guard band cannot satisfy the underwater acoustic channel with random distribution, and the large transmission delay makes it difficult to employ the quantification method based on compensation. The selection quantization method based on membership is analyzed in the context of the underwater acoustic channel to reduce quantization error with the litter communication cost. The simulation results show that the proposed method can be applied to the underwater acoustic environment with serious noise and improve system performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinyu Li, Bin Wang, Xingyu Xiao, Gang Xin, and Yan Huang "The key quantization method based on membership", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 129162G (20 October 2023); https://doi.org/10.1117/12.3005163

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