光子计数激光雷达的时间相关卡尔曼深度估计

在高背景噪声和低积分时间的激光雷达远距离成像场景中,针对传统方法得到的深度图像目标被噪声淹没和深度估计偏差较大的问题,提出了一种基于信号光子时间相关性和自适应卡尔曼滤波器的深度信息估计方法.首先,提取在时间上具有聚集特征的光子计数形成集合;然后,分析了影响信号光子在时间上分布的因素并使用静态高斯线性模型来描述该集合;最...     

单光子激光测距的漂移误差理论模型及补偿方法

单光子激光测距系统采用高灵敏度的单光子探测器作为接收器件,更易实现高密度、高覆盖率的目标采样,是未来激光测距系统的发展方向.漂移误差作为限制单光子激光测距精度提高的瓶颈问题,其主要由平均回波信号光子数的变化引起.以激光雷达方程、单光子探测器的概率与统计理论为基础,建立了漂移误差的理论模型,给出了漂移误差与平均信号光子数、均方根脉宽等系统参数之间的理论关系式.同时,结合单光子探测概率模型给出了一种漂移误差的修正方法,并搭建实验系统对漂移误差模型和修正方法进行了验证.在回波信号均方根脉宽为3.2 ns、平均回波信号光子数为0.03到4.3个情况下,未经修正的漂移误差最大达到46 cm,经修正后的均方根误差为1.16 cm,平均绝对误差为0.99 cm,达到1 cm量级,漂移误差对测距精度的影响基本可以忽略.该方法可以解决漂移误差制约单光子激光测距精度提高的瓶颈问题.     

A method of background noise reduction in lidar data

This paper applies a theoretical approach to the calculation of background noise levels during the analysis of lidar (light detection and ranging) data. We develop a method for the identification of background noise concealed within lidar signals under clear atmospheric or homogeneous aerosol layer conditions and derive an equation for the calculation of these noise levels from a theoretical consideration of the lidar equation. An increasing range-corrected signal indicates that a large amount of background noise exist in the return signal. We calculate the level of background noise by selecting three equidistant points in the return signal from the homogeneous layer and inputting the range and intensity of these points into the derived equation. Background noise calculations using actual lidar signals were in good agreement with calculations based on a simulated lidar signal. The background noise equation was verified using both observational lidar data and a simulated signal, indicating that it provides a reasonable measure of background noise levels in lidar data.     

噪音信号对夜间对流层臭氧探测准确度的影响

本文探讨在背景噪音影响下,差分吸收激光雷达测量臭氧的不确定性:背景噪音对臭氧浓度廓线的影响正比于背景噪音强度、强吸收波长和弱吸收波长的回波信号强度比.理论计算结果表明:合适的回波信号强度比可以使激光雷达背景信号对夜间臭氧探测浓度的影响变得非常小,可以忽略不计.实验结果表明:用波长对(280 nm,285 nm)对大气臭氧进行观测时,适当调节两波长回波信号强度比为0.96时,背景信号对臭氧浓度探测的影响小到可以忽略的程度.模拟分析和实验观测结果相接近,证实了理论推算的合理性.在背景噪音强度未知的情况下,通过调整强吸收和弱吸收两波长的激光脉冲的能量,在示波器上得到适合的回波信号强度比值,可以抑制背景噪音信号对臭氧探测结果的影响,确保夜间臭氧测量的准确性.     

Detection performance improvement of photon counting chirped amplitude modulation lidar with response probability correction

Geiger mode avalanche photodiode detector(Gm-APD) possesses the ultra-high sensitivity. Photon counting chirped amplitude modulation(PCCAM) light detection and ranging(lidar) uses the counting results of the returned signal detected by Gm-APD to mix with the reference signal, which makes PCCAM lidar capable of realizing the ultra-high sensitivity, and this is very important for detecting the remote and weak signal. However, Gm-APD is a nonlinear device, different from traditional linear detectors. Due to the nonlinear response of Gm-APD, the counting results of the returned signal detected by Gm-APD are different from those of both the original modulation signal and the reference signal. This will affect the mixing effect and thus degrade the detection performance of PCCAM lidar. In this paper, we propose a response probability correction method. First, the response probability correction model is established on the basis of Gm-APD Poisson probability response model. Then, the response probability correction model is used to adjust the original modulation signal that is used to drive laser, in order to make the counting results of the returned signal detected by Gm-APD better mix with the local reference signal in the same form. Through this method, the detection performance of PCCAM lidar is enhanced efficiently.     

基于回波信号仿真的瑞利-喇曼-米激光雷达研制

 在分析瑞利、喇曼和米散射仿真回波信号的基础上,研制了一台探测大气温度、气溶胶和卷云的瑞利-喇曼-米散射激光雷达,实现了一台激光雷达针对大气温度、气溶胶和卷云光学特性的多参数探测。为提高瑞利和喇曼微弱回波信号信噪比,采用了极高灵敏度的R4632光电倍增管和光子计数技术;为实现对大气气溶胶和卷云的探测,532 nm回波信号采取高低分层技术、高层通道回波衰减方法和探测器门控技术。瑞利-喇曼-米散射激光雷达的探测结果证明了利用仿真回波信号指导激光雷达设计的可行性。     

光子计数式光电倍增管四象限型和弱光像增强CCD跟踪系统的性能比较

基于光子计数式光电倍增管四象限跟踪系统和弱光像增强CCD跟踪系统的基本原理，分析了这两种跟踪系统的测量噪声误差、系统控制特性和系统闭环噪声等，并重点根据实验结果分析和比较了这两种跟踪系统的性能。结果表明，光子计数式光电倍增管四象限跟踪系统的性能优于弱光像增强CCD跟踪系统。     

小样本光子图像的统计处理

讨论了一种对小样本光子图像的统计处理方法。在超微弱发光的研究中（例如细胞的超微弱荧光）,由于发光强度极弱,需要用像增强器对超微弱发光图像进行增强得到可视图像,超微弱发光图像不可避免地受到像增强系统暗噪声及背景噪声的影响,使光子图像湮没在噪声中。为从原始图像中检验出信号,根据信号光子和噪声光子的不同统计分布,运用信号检测与的方法判断光子是否属于信号光子,并得到一简明的判据,由此判据剔除图像中的噪声光子,得到信噪比改善的光子图像。并用此方法处理了人掌的超微弱发光光子图像。     

光子图像统计处理

讨论了一种对有限光子图像累加的统计处理方法。在超微弱发光的研究中（例如细胞的超微弱光），由于发光强度较弱，需要用像增强器对超微弱发光图像进行增强得到可视光子图像，超微弱发光的光子图像不可避免地受到像增强系统暗噪声及背景噪声的影响，使光子图像湮没在噪声中。为从原始图像中检验出信号，常将采集到的有限光子图像进行累加以增加样本数，根据信号光子和噪声光子的不同统计分布，运用似然比检验方法得到有效判断累加图像中某像素是否含有信号光子，由此剔除图像中的噪声光子，得到信噪比改善的光子图像。     

基于超导纳米线单光子探测器深空激光通信模型及误码率研究

高速深空通信是深空探测的关键技术之一,具备单光子灵敏度的激光通信系统将大大提高现有的深空通信速度.然而,单光子条件下的激光通信不仅需要考虑传输环境的影响,还需要考虑实际单光子探测器性能和光子数量子态的分布.本文在不考虑大气湍流影响的情况下,以光电探测模型为基础,引入超导纳米线单光子探测器(SNSPD)系统的探测效率和暗计数,建立了反应系统差错性能的数学模型,提出了系统误码率的计算公式.先对公式中的光强和激光脉冲重复频率对误码率的影响进行仿真,再通过实验结果验证仿真模型.结果表明,光强对误码率的影响最明显,随着光强从0.01光子/脉冲到1000光子/脉冲的增加,误码率从10~(-1)到10~(-7)量级明显下降;激光脉冲重复频率对误码率的影响受到不同光强的制约,但都随着脉冲重复频率的增加呈下降趋势.与此同时,当增加光强或者提高速度时,误码率高于仿真结果,约在10~(-4)量级,其原因可能是实际通信中调制光信号的消光比不足和光纤引入背景噪声提高了系统暗计数.以上模型和实验结果为进一步开展基于SNSPD的月球-地球、火星-地球等高速深空激光通信奠定了基础.     

动态干涉条纹相位提取的抗干扰算法

为减小在动态干涉条纹的相位提取中噪声带来的计数误差,研究了在希尔伯特变换相位提取的基础上,利用反正切相位跳变特性,通过软件实现可逆计数的抗干扰算法。通过模拟实验对算法的抗干扰性能进行了验证,实验结果表明：所提出的相位提取算法具有较强的抗干扰性能,在信噪比为11时,算法仍然能得到正确的结果。     

光子成像静止点目标的管道滤波探测方法

构建了具有单光子成像能力的光子成像系统,提出应用管道滤波方法实现对光子受限静止点目标的探测。分析了光子图像静止点目标与点状噪声特征,根据静止点目标在序列图像中位置的确定性以及噪声点的不相关性,研究了基于管道滤波的光子成像静止点目标探测方法。为降低目标探测的虚警概率,优化了管道滤波直径。以实验采集得到的多组光子图像序列为样本,获得了探测概率、虚警概率与信号光子数、噪声光子数、管道长度以及检测阈值的关系。检测结果显示,对信号与噪声的平均发生率为0.4和5.215的序列图像,当管道长度为9、检测阈值为2时,探测概率达0.9以上且虚警概率〈0.08。对比多组图像序列的检测结果表明,影响探测概率的主要参数是信号光子数,而影响虚警概率的主要参数是噪声光子数。     

光子计数剪切干涉仪波前探测自适应光学系统噪声分析

在自适应光学系统中，波前探测器的噪声是主要误差源。针对我们建立的２．１６ｍ望远镜红外自适应光学系统，从伺服控制系统的角度分析了光子计数噪声及其在系统闭环过程中的传递，从理论上推导了系统的噪声功率谱、伺服传递函数以及开环和闭环噪声公式。另外，还给出了在系统中实测的开环和闭环噪声     

Signal enhancement of a novel multi-address coding lidar backscatters based on a combined technique of demodulation and wavelet de-noising

Multi-address coding (MAC) lidar is a novel lidar system recently developed by our laboratory. By applying a new combined technique of multi-address encoding, multiplexing and decoding, range resolution is effectively improved. In data processing, a signal enhancement method involving laser signal demodulation and wavelet de-noising in the downlink is proposed to improve the signal to noise ratio (SNR) of raw signal and the capability of remote application. In this paper, the working mechanism of MAC lidar is introduced and the implementation of encoding and decoding is also illustrated. We focus on the signal enhancement method and provide the mathematical model and analysis of an algorithm on the basis of the combined method of demodulation and wavelet de-noising. The experimental results and analysis demonstrate that the signal enhancement approach improves the SNR of raw data. Overall, compared with conventional lidar system, MAC lidar achieves a higher resolution and better de-noising performance in long-range detection.     

Target recognition based on phase noise of received laser signal in lidar jammer

In this Letter, a method based on the effects of imperfect oscillators in lasers is proposed to distinguish targets in continuous wave tracking lidar. This technique is based on the fact that each lidar signal source has a specific influence on the phase noise that makes real targets from the false ones. A simulated signal is produced by complex circuits, modulators, memory, and signal oscillators. For example, a deception laser beam has an unequal and variable phase noise from a real target. Thus, the phase noise of transmitted and received signals does not have the same power levels and patterns. To consider the performance of the suggested method, the probability of detection(PD) is shown for various signal-to-noise ratios and signal-to-jammer ratios based on experimental outcomes.     

Noise reduction for lidar returns using local threshold wavelet analysis

Remote sensing technique of lidar belongs to the category of weak signal extraction under strong background noise. For effectively reducing the noise of lidar return signal, a wavelet analysis method using local threshold value is employed. In the local threshold value wavelet method, different threshold values are used to quantify the high frequency coefficients of every decomposition layer. Both the numerical simulation signal contaminated by random noise of different standard deviation and the practical Mie lidar returns were adopted, and the comparisons among sliding-window method, global threshold method and local threshold method were performed for verifying the feasibility of the local threshold method. Experiment results show that the local threshold wavelet method is a useful de-noising method which shows better effects of noise reduction than other two methods.     

光子计数深度获取系统误差机理研究和矫正

采用两路光子时间到达点构建光纤式光子计数伪随机码深度获取系统.为了研究降低深度误差的方法,以高斯函数为激光回波脉冲,计算瞬时概率密度函数,引入"时间行走"效应数学模型,推导深度误差克拉美罗下限.随着激光回波能量的增大,深度误差先降低再增大,并且码长越长,深度误差越小.采用理论推导的累积分布函数,生成光子时间到达点,蒙特卡洛仿真伪随机序列光子探测过程,结果大于理论数值模拟,符合克拉美罗下界原理.17组标定实验表明:由于目标表面特性的不同而导致探测到激光回波中光子数的浮动,该浮动引发光子"时间行走"效应,并带来伪随机码深度获取系统的互相关函数的整体偏移.采用数值拟合方程拟合不同光子计数比例值下的深度误差,测量得到的光子计数比例值,代入拟合的矫正方程,矫正后的深度均方误差下降至1cm.     

基于二次相关算法的双M-Z光纤传感器的定位方法

双马赫-曾德干涉仪型分布式光纤传感系统因灵敏度高而易受环境噪声及系统噪声的影响,使得利用直接互相关算法计算扰动信号位置存在较大误差.采用二次互相关算法,先对两路接收信号做互相关运算,再与其中一路信号的自相关结果做互相关运算,通过对两路信号的时延估计对扰动信号定位,减小了噪声带来的误差并提高计算准确度.对该算法进行了理论仿真和分析,搭建了实验装置进行了实验验证.实验结果表明,与采用直接互相关定位算法结果比较,采用本文算法能够有效提高系统对扰动信号的定位准确度,且具有较高的实时性.     

基于光电双开关的单光子同步探测

提出了一种基于光电双开关进行同步测量单光子的方法.这种测量方法能够有效抑制背景光以及由背景光引起的后脉冲和死时间对单光子测量的影响,有效地减少了单光子探测中的误计数,改善了单光子测量的信噪比.同时,避免了单光子探测器通常工作在门控电压方式下产生自发光子辐射的缺点.     

一种边缘和过渡区域相结合的红外目标提取方法

传统的基于过渡区域提取的目标分割算法存在噪声敏感问题,从而会影响到过渡区域提取的准确性。与可见光图像相比,红外图像特别是红外光谱图像,受到探测器无法消除的热噪声影响,传统的目标提取算法准确率普遍降低。此外,虽然通过边缘能够精确定位目标,但是无法获取目标完整边缘。而过渡区域的灰度分布特点是可以解决基于边缘的目标提取难题。因此为了提高目标提取的抗噪性和准确性,提出了一种将过渡区域提取与边缘检测结合的自适应红外目标提取方法。首先利用像元空间邻域信息构造密度,以此有效降低噪声影响和获取图像边缘信息。然后基于像元密度信息最大分离目标边缘与背景,得到有效边缘和过渡区域,进而以此生长出目标。将边缘与过渡区域结合,可以很好地抑制噪声,多幅复杂场景实验评估了该方法的抗噪性能,结果显示,提出的方法在噪声的干扰下能较好的提取目标。