Effects of PM2.5 on the Detection Performance of Quantum Interference Radar

Lihao Tian, Min Nie, Guang Yang
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Abstract

In order to study the influence of PM2.5 particles on the detection performance of quantum interference radar, this article analyzes the relationship between the concentration of PM2.5 particles and the extinction coefficient under different particle sizes based on the spectral distribution function of PM2.5 particles and the Mie scattering theory. Then establish the influence model of PM2.5 particles on the detection distance and maximum detection error probability of quantum interference radar. The simulation results show that as the concentration of PM2.5 particles increases, the extinction coefficient of PM2.5 particles shows a gradually increasing trend; the energy of the detected photons is attenuated, resulting in a decrease in the transmission distance of the photons; when the energy of the emitted photons remains unchanged, The maximum detection error probability of quantum interference radar increases with the increase of PM2.5 particle concentration; when the PM2.5 particle concentration remains unchanged, the maximum detection error probability decreases gradually with the increase of the emitted photon energy. Therefore, the average number of emitted photons should be appropriately adjusted according to PM2.5 pollution in order to reduce the impact of PM2.5 atmospheric pollution on the detection performance of quantum interference radar.
PM2.5对量子干涉雷达探测性能的影响
为了研究PM2.5粒子对量子干涉雷达探测性能的影响,本文基于PM2.5粒子的光谱分布函数和米氏散射理论,分析了不同粒径下PM2.5粒子浓度与消光系数的关系。然后建立PM2.5粒子对量子干涉雷达探测距离和最大探测误差概率的影响模型。模拟结果表明:随着PM2.5浓度的增加,PM2.5粒子的消光系数呈逐渐增大的趋势;被探测光子的能量被衰减,导致光子的传输距离减小;当发射光子能量不变时,量子干涉雷达的最大探测误差概率随PM2.5粒子浓度的增加而增大;当PM2.5颗粒浓度不变时,随着发射光子能量的增加,最大检测误差概率逐渐减小。因此,应根据PM2.5污染程度适当调整平均发射光子数,以减少PM2.5大气污染对量子干涉雷达探测性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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