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作 者:任禹 罗一涵[1,2] 徐少雄[1,2] 马浩统[1,2] 谭毅[1,2] Ren Yu;Luo Yihan;Xu Shaoxiong;Ma Haotong;Tan Yi(Key Laboratory of Beam Control,Chinese Academy of Sciences,Chengdu,Sichuan 610209,China;Institutue of Optics and Electronics,Chinese Academy of Sciences,Chengdu,Sichuan 610209,China;University of Chinese Academy of Science,Beijing 100049,China)
机构地区:[1]中国科学院光束控制重点实验室,四川成都610209 [2]中国科学院光电技术研究所,四川成都610209 [3]中国科学院大学,北京100049
出 处:《光电工程》2021年第1期81-90,共10页Opto-Electronic Engineering
基 金:中国科学院青年创新促进会(2017428,2018411);脉冲激光技术国家重点实验室(SKL2018KF05);四川省科学委员会优秀青年基金(2019JDJQ0012)。
摘 要:非视域定位是一种通过提取光子飞行时间判断视线外物体位置的主动探测技术,是近年的前沿研究热点。为了研究均值滤波、中值滤波以及高斯滤波方法提取光子飞行时间的性能差异,首先用光度学方法优化了光子飞行模型中的能量变化模型,然后对三种滤波方法中的参数进行了优化分析,接着分析了三种提取方法对最大值判定法和概率阈值加权判定法的适应性,最后分别以设备和非视域物体的位置为变量,对三种时间提取算法得到的定位精度和稳定性进行了对比。仿真表明,中值滤波适用于较为狭窄的定位环境,并且有较高的定位精度;高斯滤波定位稳定性较好,并且滤波参数的选择范围更大。Non-line-of-sight location is an active detection technology which is used to detect the position of objects out of sight by extracting the time of flight.It is a research hotspot in recent years.In order to study the performance differences of mean filter,median filter and Gaussian filter in extracting time of flight,firstly,the energy changing model of photon flight model is optimized by photometry,and then the parameters of the three filtering methods are optimized and analyzed.After that,the adaptability of these three extraction methods to the maximum value judgment method and probability threshold weighted judgment method is analyzed.Finally,the accuracy and stability of these three time extraction algorithms are compared by using the positions of devices and invisible object as variables.The simulation results show that the median filter is suitable for a narrow environment and it has the high accuracy in positioning;the locations with Gaussian filter have good positioning stability and there is a wider selection range of filtering parameters when the signal is processed with Gaussian filter.
分 类 号:TN911.74[电子电信—通信与信息系统]
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