Paper
9 November 2010 The invariant statistical rule of aerosol scattering pulse signal modulated by random noise
Zhen-gang Yan, Bao-Min Bian, Juan Yang, Gang Peng, Zhen-hua Li
Author Affiliations +
Abstract
A model of the random background noise acting on particle signals is established to study the impact of the background noise of the photoelectric sensor in the laser airborne particle counter on the statistical character of the aerosol scattering pulse signals. The results show that the noises broaden the statistical distribution of the particle's measurement. Further numerical research shows that the output of the signal amplitude still has the same distribution when the airborne particle with the lognormal distribution was modulated by random noise which has lognormal distribution. Namely it follows the statistics law of invariance. Based on this model, the background noise of photoelectric sensor and the counting distributions of random signal for aerosol's scattering pulse are obtained and analyzed by using a high-speed data acquisition card PCI-9812. It is found that the experiment results and simulation results are well consistent.
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Zhen-gang Yan, Bao-Min Bian, Juan Yang, Gang Peng, and Zhen-hua Li "The invariant statistical rule of aerosol scattering pulse signal modulated by random noise", Proc. SPIE 7849, Optical Design and Testing IV, 78491U (9 November 2010); https://doi.org/10.1117/12.869702
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KEYWORDS
Particles

Interference (communication)

Atmospheric particles

Scattering

Sensors

Aerosols

Atmospheric modeling

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