A collaborative denoising algorithm for shared secret key extraction from atmospheric optical wireless channels

To minimize the adverse effects of noise while effectively preserving the natural randomness of atmospheric optical wireless channel characteristics, this paper firstly delves into the characteristics of denoising algorithms for shared secret key extraction from atmospheric optical wireless channels, and their similarities and differences from other signal denoising algorithms. Secondly, on the basis of the characteristics, it proposes a concept of collaborative denoising for shared secret key extraction technology, based on which an adaptive collaborative denoising algorithm based on CEEMDan (C-CD) is designed. Finally, numerical simulations are conducted to verify the performance of the proposed algorithm under diverse conditions, exhibiting its superior performance in terms of signal-to-noise ratio (SNR) and correlation.