利用分频带空间谱和波束域的输出直流跳变与起伏比值融合检测未知线谱目标

目标辐射噪声中高强度稳定线谱可以用来提高常规宽带能量积分的检测性能。理论分析了已知线谱检测优于宽带能量积分检测的谱级比条件。给出了线谱频带可检测条件下,线谱谱级与最小可检测信噪比关系。分析分频带空间谱和波束域的输出直流跳变与起伏比值特征。在此基础上提出了一种构造频率、方位滤波矩阵的方法。该矩阵作用类似频带方位滤波器,通过对线谱频带目标方位的信号放大,与其他频带判决结果融合,来提高常规宽带能量积分的性能。最后给出该算法适用条件和性能分析。数据仿真和海试数据处理结果可知,该算法在多干扰源存在下对弱线谱目标提取能力强,且不需多帧统计,在检测效果上更接近于理想的窄带线谱检测方法。      

复调制Zoom-FFT方法的LabVIEW实现与应用

为了对信号频谱中多个频率接近的分量进行检测,提出在LabVIEW平台上使用复调制Zoom-FFT方法,通过移频、滤波、重采样、FFT和频率调整几个步骤实现对频谱的细化。仿真表明,该方法能够灵活的选择细化频带,提高频带内的频域分辨率并有较小的计算量。将其应用到异步电机故障诊断中,实现了对转子断条故障分量的有效检测。     

基于谱线频率特征的调谐二极管激光吸收光谱参数分析

调谐激光二极管吸收光谱(TDLAS)技术因其高分辨率、高灵敏度和快速测量等优点在工业生产、环境污染监测等方面受到广泛应用。波长调制光谱（wavelength modulation spectrum, WMS）的二次谐波信号经常用作气体浓度反演的检测信号。TDLAS检测性能与系统参数,如锁相放大器的时间常数、扫描幅度、扫描频率、调制幅度、调制频率等的选取紧密相关,实际测量中各参数的选择多以谱线形态特征为依据,参数之间的关联性未能得到较好体现。由于信号的采样与处理均在频域对谱线产生作用,各参数之间的作用相互关联。然而很少有研究参数对谱线频域的影响,针对此问题,在一定的理论基础上通过实验分别观察各调制参数对二次谐波信号的影响。通过保持其他参数不变,只改变一个参数的方法,得出各个参数对信号线型、频率特征及噪声引入的影响规律,继而分析并验证了多参数联合变化对谱线频带的决定作用。与基于时域特征的传统方法相比,基于谱线频率特征分析一方面具有与谱线信号采集检测处理机理相近的优点,另一方面可以直观得到各参数对主频带的影响和不同频率信号的衰减趋势。总结出基于频率特征的各参数的基本选取方法,以谱线频带和截止频率相互关系为判定标准,截止频率的大小由锁相放大器时间常数决定。通过设置合适的时间常数和扫描参数使信号频带与截止频率相近但不相交,使谱线频带内频率分量不产生衰减,频带外噪声得到最大抑制;再根据锁相放大器的性能和信号信噪比来确定调制参数,使谱线主频幅度最大;最后根据系统需求确定采样率。单周期采样点不变时,低扫描频率时检测精度相对提高但耗时较长;反之,扫描频率提高,速度变快但检测精度下降。通过联合影响规律调整关联参数,减小硬件限制对参数最优值选取造成的影响。可在考虑系统检测需求与硬件条件限制的前提下,通过参数选择得到最优二次谐波信号,为此技术的实际应用提供了参数优化的实验依据与参考方法。     

多频带水声信道的时频联合稀疏估计

多频带水声信道多径结构在相邻数据块和不同子频带存在相关性,从分布式压缩感知的角度可对这种时频联合稀疏特性进行利用。但是,在传统联合稀疏模型下水声信道间存在的不同多径时延部分形成差异支撑集,由此引入的干扰导致估计性能下降,提出利用多路径选择机制进行差异支撑集检测;同时,进一步结合频域子频带信道间、时域相邻数据块信道间存在的相关性进行频带-时间域联合稀疏估计.利用数值仿真及海试实验结果进行了性能验证和比较,表明利用时频联合稀疏估计构造的水声通信接收机改善了匹配性能,可获得较为明显的输出信噪比、误比特率等通信性能提升.从而说明:利用多频带水声信道在时域、频域存在的联合相关性可有效提高信道估计性能。      

循环平稳声场近场声全息理论与实验研究

提出一种用于分析循环平稳声场的近场声全息技术。此类声场信号的调制现象非常严重,频谱上存在着明显的边频带,由于无法有效地分离调制和载波信息,以往近场声全息技术的全息图会在边频带处出现虚假的能量。本技术用二阶循环统计量理论代替传统的傅里叶分析,并以声压的谱相关密度函数取代其频谱及功率谱密度做为重建物理量。由于谱相关密度函数可以对循环平稳信号进行解调处理,使得该技术的全息图上不会因为边频带的存在出现虚假能量。仿真分析及实验研究表明,本技术可以更准确地提取循环平稳声场的调制和载波信息。     

基于TTDF和CNS算法的多路BOTDR散射谱信息高精度分析研究

传统的BOTDR光纤传感系统采用单路传感光纤实现对信息特征的测量,交叉敏感等不可控因素会使散射谱拟合精度较低,信息分析偏差较大。设计了一种同时对多路传感信息进行检测的BOTDR系统。针对基于布里渊光时域反射(BOTDR) 的多路传感散射谱高精度特征提取的要求,提出了一种三次数据融合(TTDF)与布谷鸟牛顿搜索(CNS)相结合的散射谱信息分析方法。该方法利用TTDF对信息数据的融合能力,根据狄克逊准则和格拉布斯准则,剔除了异常值的影响,减小了传感信号的误差;采用布谷鸟牛顿搜索算法进行频谱拟合,不仅通过布谷鸟的智能搜索能力得到全局最优解,而且以该最优解作为牛顿算法的初值进行局部寻优,保证了频谱拟合的精度,提高了布里渊散射谱信息分析的准确度。在温度信息散射谱线性权重比为1∶9的情况下,分析了不同线宽散射谱信息的提取。采用该方法进行多路数据融合的方差约为0.003 0,散射谱的中心频率约为11.213 GHz,温度误差小于0.15 K。理论分析和仿真结果表明,将此方法用于基于布里渊光时域反射的多路分布式光纤传感系统,可有效提高多路传感信号的准确度和布里渊散射谱信息分析的精确度。     

基于宽频带温度脉动仪的大气温度起伏谱测量

常用温度脉动仪测量湍流的频谱, 频谱范围多在20Hz以下, 无法呈现大气温度起伏的高频特征。介绍一种宽频带低噪声温度脉动仪的设计方法, 研制出相应的仪器, 并进行了真实大气温度起伏测量实验。结果表明, 大气温度起伏具有丰富的高频信息, 温度起伏功率谱在更宽的频率范围内存在幂率不变性, 部分温度谱在高频部分出现拐点, 以更陡的幂率下降, 湍流谱的形状以及拐点出现的位置和湍流强度有一定的关系。拓宽了温度起伏功率谱的研究范围, 为光波传输的理论研究和技术应用提供了高频湍流谱信息, 为非Kolmogorov湍流研究提供了测量手段。     

基于频谱特征提取的轨道移频信号检测的兼容性设计与实现

提出了一种基于频谱特征提取的轨道移频信号检测的兼容性算法,并在单芯片的微控制器STM32F405RGT6上利用该算法实现了对国产18信息移频信号和ZPW-2000移频信号的兼容性检测。通过综合分析两类移频信号的时频域特征,将过采样、ZFFT频谱细化、频率校正及频谱特征提取结合起来,通过两类不同的数字滤波器适应不同的算法设计需要,通过频谱特征提取实现不同频谱状态下的频率计算方式,有效地提高了频率的检测精度,拓展了调制频率的测量范围。实验结果证明,对国产18信息移频信号和ZPW-2000移频信号的中心频率、上下边频的检测误差不超过±0.1Hz,调制频率的检测误差小于±0.01Hz,在采样数据小于1S情况下,调制频率的测量范围可达到6~30Hz。     

倒谱参数稀疏分解下的汉语音谎言检测

为了提高汉语语音的谎言检测准确率,提出了一种对信号倒谱参数进行稀疏分解的方法。首先,采用小波包滤波器组对语音信号进行多频带划分,求得子频带对数能量并进行离散余弦变换以提取小波包频带倒谱系数,结合梅尔频率谱系数得到倒谱参数;其次,依据K-奇异值分解方法分别利用说谎和非说谎两种状态下的语音倒谱参数集训练得到过完备混合字典,在此字典上根据正交匹配追踪算法对参数集进行稀疏编码提取稀疏特征;最终进行多种分类模型下的识别实验·实验结果表明,稀疏分解方法相比传统参数降维方法具有更好的优化性能,本文推荐的稀疏谱特征最佳识别率达到78.34%,优于其他特征参数,显著提高了谎言检测识别准确率。      

基于复调制的ZFFT算法在轨道电路信号检测中的应用

随着铁路列车速度不断提高,轨道电路信号面临的干扰也越来越复杂,如何更加准确的检测出轨道电路信号参数成为了越来越重要的课题。由于轨道电路移频信号采用频率参数传递控制信息,因此通过提高信号频谱分辨率的思路来提高信号的可靠性,结合基于复调制的ZFFT算法在信号频谱局部细化领域的优势,考虑轨道电路信号在频域范围内的分布特性,针对轨道电路信号(FSK信号)的可靠检测提出了基于复调制的ZFFT算法,该算法通过将信号频谱中感兴趣的局部频段进行精细化处理,来提高频谱的分辨率。并通过仿真进行验证,仿真结果表明此方法检测到的移频信号低频满足误差标准,提高了轨道电路信号检测的可靠度。     

一种新型的分子离子吸收光谱技术

将频率调制和磁旋转 技术应用于速度调制激光光谱技术中,形成一种全新的具有高灵敏度的分子离子光谱测量技术,它不仅保留了速度调制光谱技术掏中性分子吸收信号的特点,同时使噪声达到散粒噪声的测量极限。     

Multiband Spectrum Sensing Based on the Sample Entropy

Cognitive radios represent a real alternative to the scarcity of the radio spectrum. One of the primary tasks of these radios is the detection of possible gaps in a given bandwidth used by licensed users (called also primary users). This task, called spectrum sensing, requires high precision in determining these gaps, maximizing the probability of detection. The design of spectrum sensing algorithms also requires innovative hardware and software solutions for real-time implementations. In this work, a technique to determine possible primary users’ transmissions in a wide frequency interval (multiband spectrum sensing) from the perspective of cognitive radios is presented. The proposal is implemented in a real wireless communications environment using low-cost hardware considering the sample entropy as a decision rule. To validate its feasibility for real-time implementation, a simulated scenario was first tested. Simulation and real-time implementations results were compared with the Higuchi fractal dimension as a decision rule. The encouraging results show that sample entropy correctly detects noise or a possible primary user transmission, with a probability of success around 0.99, and the number of samples with errors at the start and end of frequency edges of transmissions is, on average, only 12 samples.     

使用振幅调制和功率谱相减的联合变换相关器作多目标检测

提出一种使用振幅调制和功率谱相减的联合变换相关器作多目标检测，这一方法对联合功率谱作了修正，先将联合功率谱减去纯输入景物的功率谱和参考图象的功率谱，再将所得修正的联合功率谱乘以振幅调制滤波函数。分析和量化了输入景物噪声对联合变换相关器性能的影响。这种方法比条纹调节的联合变换相关器和修正的条纹调节的联合变换相关器能产生更好的相关输出和适应输入景物噪声的能力。     

强度调制532 nm激光水下测距

激光水下探测在水下目标搜寻、资源勘探等领域具有重要的应用,而散射是激光水下探测面临的主要挑战.载波调制激光雷达具有抗散射、抗干扰的优点,本文利用自行研制的532 nm强度调制激光源,在3 m长的水箱中搭建激光水下探测系统. 532 nm激光源最大输出功率为2.56 W,强度调制范围为10.0 MHz—2.1 GHz,光束发散角约0.5 mrad.通过在水箱中添加氢氧化镁(Mg(OH)_2)粉末,测量了不同浑浊度下水的衰减系数.采用相位测距的方法,目标反射光的调制信号为探测信号,对激光源进行调制的电信号作为参考信号,利用相关运算获得激光的延时时间,进而可以获得水下目标的距离.最大调制频率为500 MHz时,实现了距离为4.3个衰减长度目标的探测,测距误差约12 cm.探测距离越远,测距误差越大,调制频率越高,测距精度越高.     

Multi-band metamaterial absorber topology for infrared frequency regime

In this paper, a new multiband metamaterial absorber design is proposed and the numerical characterization is carried out. The design is composed of three layers with differently sized quadruplets in which the interaction among them causes the multiband absorption response in the infrared frequency regime. In order to characterize the absorber and explain the multiband topology, some parametric studies with respect to the dimensions of the structure are carried out and the contributions of the quadruplets to the absorption spectrum are analyzed. According to the results, it is found that the proposed metamaterial absorber has five bands in the infrared frequency regime with the absorption levels of: 98.90%, 99.39%, 86.46%, 92.80% and 97.96%. Moreover, the polarization dependency of the structure is examined and it is found that the design operates well as a perfect absorber with polarization independency in the studied frequency range.     

Discrimination of modulation depth of sinusoidal amplitude modulation (SAM) noise

The detection of sinusoidal amplitude modulation (SAM) provides a lower bound on the degree to which temporal information in the envelope of complex waveforms is encoded by the auditory system. The extent to which changes in the amount of modulation are discriminable provides additional information on the ability of the auditory system to utilize envelope fluctuations. Results from an experiment on the discrimination of modulation depth of broadband noise are presented. Discrimination thresholds, expressed as differences in modulation power, increase monotonically with the modulation depth of the standard, but do not obey Weber's law. The effects of carrier level and of modulation frequency are consistent with those observed in modulation detection: Changes in carrier level have little effect on modulation discrimination; changes in modulation frequency also have little effect except for standards near the modulation detection threshold. The discrimination of modulation depth is consistent with the leaky-integrator model of modulation detection for standards below--10 dB (20 log ms); for standards greater than--10 dB, the leaky integrator predicts better performance than that observed behaviorally.     

基于主副瓣比加权的未知线谱目标检测方法研究

针对目标辐射线谱信号未知时的目标检测问题,依据水下目标辐射噪声含有高强度稳定线谱这一特征,该文提出了一种基于波束形成主副瓣比加权的宽带波束形成目标检测方法。该方法首先用二阶锥优化各频带波束形成,得到低旁瓣高增益波束形成;其次利用各频率单元波束形成主副瓣差异形成加权因子;然后利用加权因子对各频率单元波束形成进行加权统计,可以抑制背景噪声能量干扰,增强目标检测信噪比增益,克服传统线谱检测四维显示难点。理论分析和实验结果表明：该方法可以较好地增强目标线谱单元能量、抑制噪声、提高信噪比,改善能量累积检测法在远程目标检测方面的性能。     

A detecting method for line-spectrum target by fusing output DC jump to fluctuations ratio of sub-band spatial spectrum and beam space

The low frequency line components of the radiated noise from an underwater target usually have both high spectrum level and sustained stability.This feature could be used to increase the detection performance of conventional broadband energy integration method.The required spectrum level is theoretically discussed when the detection performance of the known line detection is better than that of broadband energy integration method.Under the condition of the target can be detected in line spectrum band,the relationship between the line spectrum level and signal to noise ratio(SNR)is also discussed.This paper proposes a line spectrum target detection method that a matrix using DC jump to fluctuations ratios of sub-band spatial spectrum and beam space output is constructed.This matrix acts as a filter that the line spectrum target with certain frequency and azimuth is passed at most.By fusing with the other sub band results,the conventional detection performance can be improved.At the same time,the applicable condition and detection performance are analyzed in the paper.The simulation and the sea trial data processing results show that the algorithm can effectively extract weak goal line spectrum target under the condition of multi-interference.The algorithm doesn't need multi-frame statistics and the detection performance is closer to the optimal line spectrum method.     

Modulation masking: effects of modulation frequency, depth, and phase

Modulation thresholds were measured for a sinusoidally amplitude-modulated (SAM) broadband noise in the presence of a SAM broadband background noise with a modulation depth (mm) of 0.00, 0.25, or 0.50, where the condition mm = 0.00 corresponds to standard (unmasked) modulation detection. The modulation frequency of the masker was 4, 16, or 64 Hz; the modulation frequency of the signal ranged from 2-512 Hz. The greatest amount of modulation masking (masked threshold minus unmasked threshold) typically occurred when the signal frequency was near the masker frequency. The modulation masking patterns (amount of modulation masking versus signal frequency) for the 4-Hz masker were low pass, whereas the patterns for the 16- and 64-Hz maskers were somewhat bandpass (although not strictly so). In general, the greater the modulation depth of the masker, the greater the amount of modulation masking (although this trend was reversed for the 4-Hz masker at high signal frequencies). These modulation-masking data suggest that there are channels in the auditory system which are tuned for the detection of modulation frequency, much like there are channels (critical bands or auditory filters) tuned for the detection of spectral frequency.     

High-Resolution Rb Two-Photon Transition Spectroscopy by a Femtosecond Frequency Comb via Pulses Control

We experimentally observe the high resolution direct frequency comb spectroscopy using counter-propagating broadband femtosecond pulses on two-photon transitions in room-temperature ~(87)Rb atoms.The Doppler broadened background is effectively eliminated with the pulse shaping method and the spectrum modulation technique.The combination of the pulse shaping method and the spectra modulation technique provides a potential approach to reduce background of at least 99%.