Extremely Weak Signal Detection Algorithm of Multi-Pixel Photon Detector

For the detection of extremely weak signals in underwater long distance wireless optical communication, the Geiger mode of the multi pixel photon detector has serious pulse superposition effect and Poisson noise, which leads to counting difficulties and affects the measurement accuracy. This paper p...

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Vydané v:Journal of physics. Conference series Ročník 2476; číslo 1; s. 12026 - 12030
Hlavní autori: yang, Y, Zhao, PR, Wang, XB, zhang, JL, Yang, FM, Min, ZW
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bristol IOP Publishing 01.04.2023
Predmet:
Algorithms
Deconvolution
Deconvolution FilteringTechnique
Extremely Weak Signal Detection
Generalized Anscombe Transform
Normal distribution
Optical communication
Optical Wireless Communication
Photons
Physics
Pixels
Pulse duration
Random noise
Signal detection
System Performance
Wireless communications
ISSN:1742-6588, 1742-6596
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Popis
Shrnutí:For the detection of extremely weak signals in underwater long distance wireless optical communication, the Geiger mode of the multi pixel photon detector has serious pulse superposition effect and Poisson noise, which leads to counting difficulties and affects the measurement accuracy. This paper proposes a deconvolution joint generalized Anscombe transform (DUGAT) detection algorithm. First, the deconvolution filtering technology is used to process the weak signal to reduce the superposition effect and converge the pulse width. Secondly, the noise signal of Poisson+Gaussian (P+G) distribution is converted into Gaussian variable by using generalized Anscombe transform (GAT), which is equivalent to additive Gaussian noise signal. Finally, the symbols are counted by hard decision algorithm. The experimental results show that the sensitivity of this algorithm is improved by 8.57dB and 9.95dB respectively compared with the traditional AR and ML detection algorithms.
Bibliografia:ObjectType-Article-1
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2476/1/012026