arXiv · 1903.02664
Blind Source Separation of Optical Wireless Communications in Noisy Environments
Abstract
Blind source separation is a research hotspot in the field of signal processing because it aims to separate unknown source signals from observed mixtures through an unknown transmission channel. A low computational complexity instantaneous linear mixture signals blind separation algorithm was introduced and improved. There is only one variable parameter named the length of moving average in the algorithm, which has a significant impact on the separation effect. This paper gives some suggestions on the reasonable value through experiments. The algorithm is extended to the separation of visible light communication signals in different noise environments, and has achieved certain results, which further expands the applicability of the algorithm.
Explore related subjects
Keep this discovery
Pengfei Xu, Yinjie Jia, Zhijian Wang. 2019-03-07. Blind Source Separation of Optical Wireless Communications in Noisy Environments. https://arxiv.org/abs/1903.02664
Cite the original work for its findings. Save a collection to share your selection of sources.