一种降低井下核磁共振振铃的新方法

核磁共振（NMR）测井仪在测量过程中,振铃噪声幅度一般很高,会影响回波信号的检测. 常用的交叉相位对脉冲序列（PAPS）虽然能有效地降低振铃影响,但由于振铃与频率有关,使PAPS叠加只能在同频率之间展开,大大降低了NMR测井的纵向分辨率. 利用回波信号和振铃噪声的相位特征,设计了一种脉冲序列,采用PAPS和回波间叠加相结合的方式降低振铃噪声. 研究表明,相对于PAPS技术,提高了测量效率,同时提高了回波串的信噪比和NMR测井的纵向分辨率.     

电力系统故障的微弱信号检测方法的研究

为了确保电力系统能够安全稳定的运行,实时检测故障中的微弱信号。通过噪声干扰情况下微弱信号的不同变化进行研究,得到了一种微弱信号的DUFFING混沌检测模型。系统发生故障时会产生相应的微弱信号,运用DUFFING混沌振子法分析不同情况下微弱信号的时域波形和相平面轨迹变化规律,并建立数学检测模型,对其幅值进行混沌检测仿真。结果表明,当r=0.8264V,w=1rad/s时将白噪声和微弱正弦信号同时加入后,此时,混沌状态、大尺度周期状态的相平面运行轨迹依然在进行有规律的运行,可以清晰的观察出需要检测的微弱信号。在强噪声存在于系统中时,该方法明显克服了噪声对信号稳定性的干扰,能精确有效检测微弱信号。系统在应对不同工作环境、仪器设备老化等情况时,提高了检测效率,保证系统的稳定运行。     

滤波器与随机共振结合检测微弱信号

基于双稳随机共振系统及滤波器的不同特性,本文提出了一种将两者结合起来检测微弱周期信号的方法,先用自适应前置滤波器对输入的弱周期信号及噪声进行滤波,再使其通过双稳随机共振系统,进而检测出弱信号。对比只有双稳随机共振的系统,仿真结果表明此时的输出信号中待测信号频谱幅度得到了很大的提高,且周围的干扰信号也得到了明显的削弱,即两者的结合使用可以更好的检测出微弱信号,这对强噪声背景下的信号检测有很强的实用性。     

混沌噪声背景下微弱脉冲信号的检测及恢复

构建了一种在混沌噪声背景下检测并恢复微弱脉冲信号的模型.首先,基于混沌信号的短期可预测性及其对微小扰动的敏感性,对观测信号进行相空间重构、建立局域线性自回归模型进行单步预测,得到预测误差,并利用假设检验方法从预测误差中检测观测信号中是否含有微弱脉冲信号.然后,对微弱脉冲信号建立单点跳跃模型,并融合局域线性自回归模型,构成双局域线性(DLL)模型,以极小化DLL模型的均方预测误差为目标进行优化,采用向后拟合算法估计模型的参数,并最终恢复出混沌噪声背景下的微弱脉冲信号.仿真实验结果表明本文所建的模型能够有效地检测并恢复出混沌噪声背景中的微弱脉冲信号.     

微弱信号检测讲座第三讲 相关检测及其在锁相放大器中的应用

实际信号的检测,不可避免地要受到各种噪声的干扰.这种噪声干扰限制了测量所能达到的精确性和灵敏度.所以,信号检测的首要问题是抑制噪声提高信噪比.线性滤波是一种常用的抑制噪声方法.但是,当噪声功率超过信号功率很多时,简单的滤波不再有效,需要借助专门的微弱信号检测技术来检测和恢复原始信号.相关检测是其中重要的方法之一.它是人们利用周期信号及噪声自相关函数特性的不同以及信号与噪声不相关等特性,实现在噪声干扰中检测周期信号的方法.锁相放大器就是在此基础上发展起来的一种微弱信号检测仪器. 一、检测噪声中的信号 图1(a)是信号…     

光声池中微弱光声信号检测

大气中的污染源气体含量很少, 用光声光谱对其进行监测得到的光声信号极其微弱. 本文首先分析微弱信号产生机理, 在分析Holmes Duffing方程的基础上, 提出了适合光声池微弱信号检测的变尺度差分方法. 该方法通过对信号进行尺度变换, 再做差分来检测微弱信号. 理论分析和实验表明, 变尺度差分方法能很好地抑制系统相空间的共模噪声, 而且能很好地凸显混沌状态临界值. 变尺度差分方法测出的信号相对误差都小于5%, 说明其可以用于较高频率、 相位和频率都未知的微弱光声信号幅值检测. 关键词： 光声光谱 微弱信号 幅值 Duffing     

基于随机共振进行弱信号探测的实验研究

非线性随机共振系统可利用噪声增强微弱信号检测的能力,为强噪声背景下微弱信号的检测开创了新方法.基于随机共振的基本原理设计了硬件电路系统,并将其应用于检测单频和多频微弱信号;通过输入模拟工程实际的带噪信号,采样所得的输出信号的频谱分析结果表明,利用随机共振技术可从强噪声背景下有效地提取出单频和多频弱信号.多频弱信号的有效提取拓展了基于随机共振原理的弱信号检测技术的应用领域,结合数字滤波处理技术有效地消除了低频噪声对信号识别的影响.基于随机共振的弱信号检测技术在信息识别与信息处理方面具有巨大的潜在的应用价值.     

基于运动补偿和抗差估计的回波光子实时检测方法

根据漫反射激光测距回波的误差特性,提出了一种基于运动补偿和抗差估计的回波光子实时检测方法。通过运动补偿增加了光子积累数量,可提供可靠的初值。在此基础上,采用抗差估计策略剔除观测粗差,有效实现了回波光子的实时在线检测。实验结果表明,在低信噪比情况下,该方法能够有效地抑制噪声影响,并能有效解决漫反射激光测距的实时信号检测问题。     

基于最优滤波器的强混沌背景中谐波信号检测方法研究

强混沌背景中的微弱谐波信号检测有重要的工程研究意义. 目前的检测方法主要是基于Takens理论的混沌相空间重构方法, 然而这些方法往往对信干噪比要求高, 且对高斯白噪声敏感等. 本文注意到混沌信号的二阶统计特性是不变的, 根据这个特点提出了一种基于最优滤波器的强混沌背景中的微弱谐波信号检测方法. 该方法首先构建一个数据矩阵, 在频域上对每个频率通道分别检测谐波信号, 从而将信号检测问题转化为最优化问题, 然后利用最优化理论设计滤波器, 使待检测频率通道的信号增益保持不变, 而尽量抑制其他频率通道的信号, 最后通过判断每一频率通道的输出信干噪比来检测谐波信号. 与传统方法相比, 本文方法有如下优点: 1)可以检测更低信干噪比下的微弱谐波信号; 2)可检测的信号幅度范围更大; 3)抗白噪声性能更强. 仿真结果证明了本文方法的有效性.     

微弱信号检测讲座第二讲 噪声及其设计

一、噪声的基本知识1.噪声的统计特征 噪声是限制信号检测灵敏度的决定性因素,因此它是信号检测中的不利因素.微弱信号检测技术中要解决的核心问题是如何从噪声中提取微弱信号,为此我们在讨论微弱信号检测方法之前,首先必需研究噪声的特点及减少系统中噪声的方法. 电路噪声是指电路的元、器件固有的随机扰动,或称为随机过程,如图1(a)所示.噪声在某一时刻的取值是随机的,它可能出现各种数值,因此我们不能用一个确切的函数来表示,也不可能完全预计每一时刻的取值.对于这种随机过程,可以用概率和统计方法来找出一些规律,即用特征量来描述,研究…     

Phase Correction-Adaptive Line Enhancement for Noise Reduction of Low-Field NMR

The amplitude of low-field nuclear magnetic resonance (NMR) is weak, and the echo is buried in the noise. The reduction of noise is critical to accurately extract echo amplitude. Phase correction-adaptive line enhancement (PC-ALE) is proposed to noise suppression based on the principle of ALE and NMR spin-echo characteristics. The echo amplitude is calculated after two-stage processes; phase shift from time-delay and filter tap would be compensated effectively in frequency domain. Simulation and experiments show that PC-ALE has prominent performance on noise suppression, envelope recovery, as well as the correction of the phase shift. The amplitude from the method of sample average nearby the middle of the echo is more accurate than the maximum peak when the PC-ALE is applied to noise suppression of spin-echo.     

Comparative study of motions in dimethylsulfone by noise excitation and solid echo spectroscopy

2H NMR spectra of dimethylsulfone were measured with noise excitation and solid echo NMR spectroscopy in the temperature range from 125 to 355 K. Besides the known fact that broad NMR spectra can be measured with both methods, in comparable times it is shown that for noise excitation, the signal loss is negligible compared to echo spectroscopy in the regime when the correlation times of the motions are of the order of magnitude of the echo pulse spacing. For simulating the dynamic NMR spectra acquired with noise excitation, only the motional process must be taken into account and relaxation can be neglected. Furthermore, the problem of restricted acquisition bandwidth in noise NMR spectroscopy is discussed.     

Stochastic excitation of a stimulated spin echo

The excitation of a stimulated spin echo by two coherent pulses of Gaussian white noise and a δ-function-like radio pulse is studied. The mean value of the complex envelope of the echo is obtained by solving the Bloch equations. The behavior of the mean value of the envelope of the stimulated echo is investigated for a Lorentzian shape of the inhomogeneously broadened absorption line. It is shown that in an excitation regime which is linear for noise pulses the envelope corresponds to the Fourier transform of the line-shape function. Nonlinear distortions of the mean value of the envelope of a stimulated echo can arise outside the linear excitation regime. Zh. Tekh. Fiz. 67, 100–104 (October 1997)     

基于分数阶傅里叶变换混响抑制的目标回波检测方法

提出了一种声呐发射信号为线性调频信号时,基于分数阶傅里叶变换混响抑制的目标回波信号检测方法。通过计算混响的缓慢时变包络,对混响进行时间域的平稳化处理。对平稳化的混响信号滑动窗截取,对截取信号进行分数阶傅里叶变换,然后在分数阶傅里叶域进行滤波处理,再进行逆分数阶傅里叶变换恢复出时间域信号,最后输出该信号的能量。当滑动窗截取到目标回波信号时,窗内的混响噪声得到抑制,系统输出目标回波的能量,从而实现混响背景下的信号检测。通过计算机仿真和湖试实验结果,表明所提方法可以准确的在混响背景下检测到目标回波信号,并且在混响噪声背景条件下相比于匹配滤波器具有更好的检测性能。      

Degradation of historical paper: nondestructive analysis by the NMR-MOUSE

The NMR-MOUSE is a mobile sensor for single-sided NMR inspection of organic materials which takes advantage of the principles of magnetic resonance and inside-out-NMR. Historical books dating from the 17th century were measured at different points by positioning the NMR-MOUSE on the paper. Different degrees of paper degradation can be discriminated from the regularized inverse Laplace transform of the envelope of the acquired echo signals. For the first time the degradation of historical paper was characterized entirely nondestructively by NMR. As a contribution to current preservation efforts, NMR shows great promise for future use in damage assessment of historical documents.     

Comodulation masking release: evidence for multiple cues

Signal detection was determined in conditions where the masker was a 10-Hz-wide noise band centered on the signal, and in conditions where either a comodulated or noncomodulated noise band (centered at 0.8 times the signal frequency) was also present. Signal frequencies of 500 or 2000 Hz were investigated. In one condition of the first experiment, the signal was exactly the same 10-Hz-wide noise band as the masker, added to the masker in phase. This condition was designed to limit the availability of cues based upon dip listening, suppression, beating, or across-frequency differences in noise envelope correlation, but to afford a cue based upon across-frequency envelope amplitude difference. The narrow-band noise signal resulted in approximately the same magnitude of comodulated masking release (CMR) as was found for a pure-tone signal. This result suggested that one important cue for CMR is an across-frequency difference in envelope amplitude. Stimulus conditions in the second experiment were intended to disrupt cues of across-frequency envelope amplitude difference, but to afford cues based upon across-frequency differences in noise envelope correlation. In this experiment, cues based upon envelope amplitude were impoverished by randomly varying the level of the flanking band from interval to interval, and by adjusting the level in the on-signal band to be the same in the nonsignal intervals as the level of noise plus signal in the signal interval. Again, substantial CMRs occurred, suggesting that another cue for CMR may be envelope pattern or correlation. The results of these experiments indicated that CMR is probably based upon more than one stimulus variable.     

高精度多脉冲激光测距回波检测技术

针对远距离激光测距机回波信号脉宽强度特征和噪声的统计特性,提出了一种高精度多脉冲激光测距机的回波信号检测技术。采用时钟移相分配方式实现了400 MHz高速信号采集及数字化处理,提高了回波脉冲的检测精度。采用ARM嵌入式高速核处理器进行数据算法处理,完成了滤波降噪、自适应门限检测和多帧相关检测等功能,使回波信噪比提高了7.6 dB,达到远距离精确获取目标距离信息的目的。     

多频带联合包络调制谱检测

随着降噪消声技术的发展,如何有效被动检测低噪声目标,成为声纳研发者面临的主要问题之一。本文基于频谱感知、多频带联合检测及信息融合技术,提出了具有环境噪声利用和背景噪声抑制功能的多频带联合包络调制谱检测技术。此技术侧重基频调制谱检测,将可用带宽分为多个子频带,动态感知子频带内强频谱区域,将其峰值频率作为解调载波频率。并通过降采样和时间积累,提高调制谱频率分辨率和信噪比,通过联合检测和信息融合,提高调制谱检测率。仿真和海试数据分析验证了方法的有效性。此方法具有一定的应用价值和实际意义,将来还需要对方法理论和机理进行深入研究。     

Intrinsic envelope fluctuations and modulation-detection thresholds for narrow-band noise carriers

A model is presented which calculates the intrinsic envelope power of a bandpass noise carrier within the passband of a hypothetical modulation filter tuned to a specific modulation frequency. Model predictions are compared to experimentally obtained amplitude modulation (AM) detection thresholds. In experiment 1, thresholds for modulation rates of 5, 25, and 100 Hz imposed on a bandpass Gaussian noise carrier with a fixed upper cutoff frequency of 6 kHz and a bandwidth in the range from 1 to 6000 Hz were obtained. In experiment 2, three noises with different spectra of the intrinsic fluctuations served as the carrier: Gaussian noise, multiplied noise, and low-noise noise. In each case, the carrier was spectrally centered at 5 kHz and had a bandwidth of 50 Hz. The AM detection thresholds were obtained for modulation frequencies of 10, 20, 30, 50, 70, and 100 Hz. The intrinsic envelope power of the carrier at the output of the modulation filter tuned to the signal modulation frequency appears to provide a good estimate for AM detection threshold. The results are compared with predictions on the basis of the more complex auditory processing model by Dau et al.