光传感重叠光谱信号解调的人工智能优化算法研究  

Research on artificial intelligence optimization algorithm for demodulation of optical sensor overlapping spectrum signal

作　　者：贾凌杉 关艳 JIA Lingshan;GUAN Yan(Hebei University of Environmental Engineering,Beidaihe Hebei 066100,China)

机构地区：[1]河北环境工程学院,河北北戴河066100

出　　处：《激光杂志》2020年第11期139-143,共5页Laser Journal

基　　金：河北省自然科学基金项目(No.E2018415004);河北省秦皇岛市科技计划项目(No.201805A014)。

摘　　要：为了解决当光传感重叠光谱信号解调过程存在的问题,提出了光传感重叠光谱信号解调的人工智能优化算法,先构建重叠光谱模型,获取光传感重叠光谱信号;采用改进阈值提升小波光去除光传感重叠光谱信号中的噪声信号,然后采用人工智能优化算法对去噪后有效的光传感重叠光谱信号进行解调,最后进行了仿真对比实验,结果表明,该方法去噪后的光传感重叠光谱信号波动幅值与原始信号差异极小;解调后光传感重叠光谱信号时域波形简洁,信号波动范围与解调前相同,解调后的光谱信号特征完整度高,可高度保存原始光传感重叠光谱信号特征。In order to solve the problems in demodulation process of optical sensor overlapping spectrum signal,an artificial intelligence optimization algorithm for demodulation of optical sensor overlapping spectrum signal is proposed.Firstly,the overlapping spectrum model is constructed to obtain overlapping spectrum signal of optical sensor.Then,the noise signal in overlapping spectrum signal of optical sensor is removed by improving the threshold value of wavelet light,and then the artificial intelligence optimization algorithm is used to eliminate noise signal.The results show that the difference between the amplitude of the overlapped spectrum signal and the original signal is very small,the time domain waveform of overlapped spectrum signal after demodulation is simple,the range of signal fluctuation is the same as that before demodulation,and the characteristic integrity of spectrum signal after demodulation is high.The characteristics of overlapped spectral signal of original light sensor are preserved.

关 键 词：人工智能优化 光传感重叠 光谱信号 解调 

分 类 号：TN929.11[电子电信—通信与信息系统]