本文選題：可見光通信　切入點：煙花算法　出處：《中國礦業(yè)大學學報》2017年05期

【摘要】：針對煤礦工作面可見光通信系統(tǒng)中光源發(fā)光二極管(LED)導致接收平面光信號信噪比(SNR)分布不均勻的問題,提出了優(yōu)化LED光源高度、提高工作面接收平面光信號SNR分布均勻性的新方法.可見光通信中接收點光功率與距離平方成反比,隨著通信距離的改變,接收光功率變化明顯,應用群體優(yōu)化算法——煙花算法搜索每個LED光源高度,降低接收平面SNR波動,增加接收平面SNR均值,提高系統(tǒng)整體性能.結(jié)果表明:LED光源高度在0.85~3.00m范圍內(nèi)調(diào)節(jié)時,光接收平面SNR方差由2.16×104降低到1.08×10~4,SNR因子從32.703 4降低到16.678 4,SNR均值從44.967提高到62.390;LED光源高度限制在2.60~3.00m時,光接收平面SNR方差由2.16×104降低到1.61×10~4,SNR因子從32.703 4降低到22.693 1,SNR均值從44.967提高到55.850,有效改進了接收平面SNR均勻性和系統(tǒng)SNR性能.
[Abstract]:Aiming at the problem of uneven distribution of signal to noise ratio (SNR) of received plane light signal in the visible light communication system of coal face, an optimized LED light source height is proposed.A new method to improve the SNR distribution uniformity of the plane light signals received from the working face.The optical power of the receiving point is inversely proportional to the square of the distance in the visible light communication. With the change of the communication distance, the received optical power changes obviously. The group optimization algorithm-fireworks algorithm is applied to search the height of each LED light source to reduce the SNR fluctuation in the receiving plane.Increase the average value of SNR in the receiving plane and improve the overall performance of the system.The results show that when the light source height is adjusted within the range of 0.85 ~ 3.00 m, the variance of SNR in the light receiving plane decreases from 2.16 脳 10 ~ 4 to 1.08 脳 10 ~ (4) SNR from 32.703 4 to 16.678 4 ~ (4). The average value of SNR is increased from 44.967 to 62.390 m, and the height of the light source is limited to 2.60 脳 10 ~ 4 ~ 3.00 m.The SNR variance of the optical receiving plane is reduced from 2.16 脳 10 ~ 4 to 1.61 脳 10 ~ (4) SNR factor from 32.703 ~ (4) to 22.693 ~ (1) ~ 1 ~ (th) SNR from 44.967 to 55.850, which effectively improves the homogeneity of the receiving plane SNR and the SNR performance of the system.
【作者單位】： 中國礦業(yè)大學物聯(lián)網(wǎng)(感知礦山)研究中心;江蘇師范大學物理與電子工程學院;
【基金】：江蘇省自然科學基金項目(BK20151148) 江蘇省科技成果轉(zhuǎn)化專項資金項目(BA2016016) 徐州市科技計劃項目(KC14SM097)
【分類號】：TN929.1
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本文編號：1692599