Performance Analysis of Large-Aperture Receiving and Selection of Aperture Size in Atmospheric Optical Communications

Chunyi, 陈纯毅 Chen; Huamin, 杨华民 Yang; Huilin, 姜会林 Jiang; Shoufeng, 佟首峰 Tong; Jingtao, 范静涛 Fan; Cheng, 韩成 Han

doi:10.3788/cjl20093611.2957

Cited by 7 publications

(2 citation statements)

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“…The principle of this method is the aperture averaging effect: if the diameter of the receiver aperture is larger than the coherence length of the light intensity fluctuation, the light intensity received by the system is the average of several speckle fields, and the random fluctuation of the light intensity will decrease with the increase of the diameter of the receiver aperture [18] . For the aperture smoothing effect of large-aperture receiving technology, a suitable theoretical model can be selected for analysis according to the difference in the intensity fluctuation of atmospheric turbulence in atmospheric channels [19] . However, when the aperture diameter of the receiver increases to a certain extent, the fluctuation of optical power will not decrease significantly with the continuous increase of the aperture size [20] .…”

Section: Large Aperture Receivingmentioning

confidence: 99%

Influences on the propagation of light beams by the near surface layer of atmosphere and the correction methods

Lai,

Lin,

Wang

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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With the increasingly widespread and important application of optics in modern human life and production, research on the propagation characteristics and correction methods of light beams in the atmosphere near the ground surface is becoming increasingly important. The complex atmospheric environment near the ground can affect the propagation of light beams, causing effects such as energy attenuation, beam expansion, beam drift, intensity flicker, phase fluctuations, etc., reducing the quality of beam propagation and affecting the performance of optical applications in various fields. A review was conducted on the impact of near-Earth atmosphere on beam propagation and its correction methods, mainly elaborating on the effects of atmospheric absorption, scattering, and turbulence on beam propagation. Correction methods such as adaptive optics, large aperture receiving, spatial diversity, partially coherent light propagation, and image processing are proposed.

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Section: Large Aperture Receivingmentioning

confidence: 99%

Influences on the propagation of light beams by the near surface layer of atmosphere and the correction methods

Lai,

Lin,

Wang

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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show abstract

“…Through theoretical analysis above, we use four-order polynomial fitting (Chen, Yang and Jiang, 2009) to simplify the attenuation coefficient calculation method of haze particles. Fig.2 shows the changing curve of the atmospheric attenuation coefficient under different wavelengths and different visibility.…”

Section: Experimental and Calculation Analysis In Atmospheric Attenuamentioning

confidence: 99%

Signal to Noise Ratio Calculation Model in Radar Detection System

2016

Rev. Téc. Ing. Univ. Zulia

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To solve noises affecting the performance of laser communication system problems, this paper studies mathematical model in atmospheric attenuation condition, sets up atmospheric attenuation coefficient of the primary factor aerosol (haze) according to the absorbing and scattering characteristics of the atmosphere, gives output SNR(Signal to Noise Ratio) models under atmosphere attenuation based on photoelectric conversion of laser communication system, analyses the relation between atmospheric attenuation coefficient and radius of haze under different visibility. Through calculation and analysis, the results show that size distribution of haze is the main factor which influences the performance of system. The models can effectively assess the performance of laser communication system under atmospheric attenuation, and provide a reference for relevant researches.

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Target characteristics and correlation detection probability calculation method in photoelectric detection screen testing system

Zhang

2019

Micro & Optical Tech Letters

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The changed environment factors will affect the capture rate of target and the detection performance in photoelectric detection screen testing system, to improve the detection performance of system, it is very necessary to establish the target optical characteristic model and correlation detection probability calculation model. Based on the detection principle of unit photoelectric detection screen and the spatial geometric relation of four photoelectric detection screens testing system, this article establishes a new target radiation characteristics calculation model by using target's radiation luminance and radiation energy, gives the output signal expression function, derived the detection probability function by signal to noise ratio (SNR) and false alarm probability. Through calculation analysis, the results show that the detection probability of four photoelectric detection screens testing system is related to the target optical characteristic, the output photoelectric current and SNR of photoelectric detection receiving sensor can describe target detection performance. According to the experiments testing, the proposed calculation model can effectively evaluate the performance of photoelectric detection screen testing system.

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Performance Analysis of Large-Aperture Receiving and Selection of Aperture Size in Atmospheric Optical Communications

Cited by 7 publications

References 0 publications

Influences on the propagation of light beams by the near surface layer of atmosphere and the correction methods

Influences on the propagation of light beams by the near surface layer of atmosphere and the correction methods

Signal to Noise Ratio Calculation Model in Radar Detection System

Target characteristics and correlation detection probability calculation method in photoelectric detection screen testing system

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