The SPAD Noise effects on the performance of adaptive incremental sensor networks with the VLC technology in Mines
Abstract— Noise is the main affecting parameter in the performance of the estimation and tracking systems. The problem of distributed estimation through adaptive networks has been greatly tangled with the presence of noise in the nodes and in the links that are connecting these nodes. There are various types of noises according to their different sources. Recently, by the development of the Visible light communication (VLC) systems, the implementation of wireless adaptive networks has been suggested with this technology. The VLC systems have their own noise type regarding the Single photon avalanche diodes (SPADs). The SPADs are usually used in the very weak light signal conditions that mines are very likely to one of the main places to use them due to the extra dust and dim environment. The usage of these SPADs will lead to the generation of the multiplicative sub-Poisson noise. In this paper, we examined the effects of this unique type of noise on the performance of adaptive incremental networks. Also, the effect of combined Gaussian, sub-Poisson noise model is examined and compared with Only Gaussian noise model. Keywords—Adaptive networks, VLC, SPAD noise, incremental strategy, distributed, Mining applications.
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