共查询到19条相似文献，搜索用时 156 毫秒
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传统的超宽带穿墙雷达数据采样需要满足 Nyquist 采样定理,超宽带大数据量增大了 A/D 转换时的硬件压力,压缩感知理论突破了传统 Nyquist 采样的限制,它是基于信号的稀疏性,测量矩阵的随机性和非线性优化算法来对信号进行压缩采样和重构.文章针对超宽带穿墙雷达的具体工作过程和穿墙雷达目标成像空间的稀疏性提出了一种基于压缩感知理论的成像方法,并通过仿真表明了该方法的可行性和有效性. 相似文献
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对网络入侵信号的准确检测,提高检测概率是保证网络安全的基础,传统检测方法难以实现对较低信噪比下的攻击信号的高效定位和检测,无法有效预测入侵信号的局部特征点,导致重采样,虚警概率和漏检概率较高。提出一种基于局部特征压缩采样的网络入侵信号检测算法,构建低信噪比下网络入侵信号模型,采用多普勒频移模糊搜索对入侵信号进行平滑处理,得到入侵信号的局部特征预测量和测量值,为了使得入侵检测适合线性实时处理过程,提高在低信噪比下的检测性能,采用卡尔曼滤波对结果进行修正,采用局部特征压缩采样判断入侵信号的联合特征,实现了对网络入侵信号的局部特征压缩采样检测。仿真结果表明,该算法检测性能较好,检测概率优于传统算法,展示了较好的应用价值,确保了网络安全。 相似文献
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冲击信号是一种瞬态信号,对其进行采集和分析需要提供完善的信号触发控制、采样频率自动设置及采样点数自动控制等功能。本文在分析了实现冲击信号采集特点及原理的基础上,研究并设计了基于CPLD(复杂可编程器件)的硬件功能模块。文中在生成系统时钟上采用了基于有限状态机的方法,完全在CPLD芯片中实现分频,取代了常见的使用8254可编程芯片的做法。此外,在模块中设计了采样频率设置、采样点数自动计点等功能,同时还可以用硬件实现多通道信号自动触发的功能,可以实现超前触发、滞后触发、电平触发、沿触发、触发电平自动设置等功能。所有的触发逻辑都使用verilog硬件描述语言在CPLD芯片中实现。通过和A/D电路配合工作,硬件模块可以实现采样的自动化。 相似文献
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伴随着科学技术的发展,图像压缩技术也出现了新的变化。本文以压缩感知理论为基础,对基于压缩感知理论的图像压缩技术的应用进行了探讨。对进一步优化我国基于压缩感知理论的图像压缩技术的理论研究与实践应用有一定的参考作用。 相似文献
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研究压缩感知(CS)理论在运动目标ISAR成像中的应用问题,结合CS理论的使用条件和ISAR雷达系统探测需求,提出一种基于随机重复频率的采样方案.针对毫米波ISAR观测运动目标时有严重的多普勒模糊问题,提出一种基于随机重频的运动目标CS成像方法,并分析随机重复间隔的变化区间宽度和最小变化间隔对该方法性能的影响.计算机仿真和实际数据处理结果验证了本方法的有效性. 相似文献
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微弱信号检测技术的研究 总被引：1，自引：0，他引：1
微弱信号检测就是利用近代电子学和信号处理方法从噪声中提取有用信号,其关键在于抑制噪声,恢复、增加和提取有用信号.本文将从信号处理系统信噪比的改善来简单地论述微弱信号检测的原理,重点介绍了用相关检测法和取样积分法检测微弱信号的原理、方法和应用. 相似文献
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压缩感知理论是利用信号的稀疏性,采用重构算法通过少量的观测值就可以实现对该信号的精确重构。SL0（Smoothed l0）算法是基于l0范数的稀疏信号重构算法,通过控制参数逐步逼近最优解。针对平滑函数的选取问题,文章提出一种新的平滑函数序列近似l0范数,实现稀疏信号的精确重构。仿真结果表明,在相同实验条件下文章算法较传统算法有着较高的重构概率。 相似文献
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The linear canonical transform (LCT) has been shown to be a powerful tool for optics and signal processing. Many theories for this transform are already known, but the uniform sampling theorem, as well as the sampling rate conversion theory about arbitrary lattices sampling in the LCT domain are still to be determined. Focusing on these issues, this paper carefully investigates arbitrary lattices sampling, the sampling with separable matrices and nonseparable matrices, to obtain uniform sampling theorem and the sampling rate conversion theory in the LCT domain. Firstly, the spectral expression of the discrete-time signal sampled via arbitrary lattice is deduced in the LCT domain. Based on it we propose the alias-free sampling relationship between two matrices and present the perfect reconstruction expressions for bandlimited signals in the LCT domain. Secondly, for further research on discrete signals to obtain sampling rate conversion theory, we define the multidimensional discrete time linear canonical transform (MDTLCT), as well as the convolution for the MDTLCT. Thirdly, the formulas of multidimensional interpolation and decimation via integer matrices in the LCT domain are derived. Then, based on the results of interpolation and decimation, we make analyses of the sampling rate conversion via rational matrices in the LCT domain, including spectral analyses and the formulas in time domain. Finally, simulation results and the potential applications of the theories are also presented. 相似文献
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《Journal of The Franklin Institute》2021,358(15):8085-8108
This paper proposes an improved model based pipeline leak detection and localization method based on compressed sensing (CS) and event-triggered (ET) particle filter (ET-PF). First, the state space model of the pipeline system is established based on the characteristic line method. Then, the CS method is used to preprocess the sensor signals to recover the potentially lost leak information which is caused by the low sampling frequency of the industrial pipeline sensors, and an event based beetle antennae search (BAS) particle filter (BAS-PF) is proposed to improve the accuracy and efficiency of the pipeline state estimation. Finally, a pipeline leak detection and localization method is developed based on the proposed signal processing, and state estimation algorithms, as well as a pipeline partition strategy. Experiment results show that the proposed method can accurately detect and locate the leak of the pipeline system with a localization error of about 1.4%. 相似文献
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分析了现有小电流接地系统发生单相接地故障选线方法的优缺点、适用范围以及影响其准确性的因素,总结了现有选线方法中的两大矛盾：单相接地故障复杂性与选线方法单一性;故障信号信息多样性与信息利用量低之间的矛盾。为提高单相故障选线准确性提供思路。 相似文献
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重载的铁路货车滚动轴承极易出现损伤类故障,因故障的突发性使得振动信号具有非线性、非平稳的特性,且振动信号极易受非检测部位振动的干扰,而使得有效信号不易被提取,传统的基于傅里叶变换的检测方法无法有效将非平稳的振动信号中的干扰去除,造成最终的检测准确率不高的问题。为了提高检测准确率,提出基于小波包的检测方法,首先针对振动信号的非平稳特性采用小波滤波有效去除其中的干扰,然后通过最小二乘支持向量机提取出非平稳振动信号中的故障特征信号并完成故障检测。实验表明,这种方法能够有效去除振动信号中的干扰,并准确检测重载铁路货车上的滚动轴承损伤故障。 相似文献
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Weijian Liu Jun Liu Lei Huang Qinglei Du Yong-Liang Wang 《Journal of The Franklin Institute》2019,356(1):629-653
For multichannel signal filtering or detection in unknown noise, it is usually difficult to obtain sufficient independent and identically distributed (IID) training data in real-world applications, which considerably degrades the performance of adaptive algorithms. In this paper, we consider the problem of subspace signal filtering and detection in sample-starved environment. A simple reduced-dimension approach is adopted, which alleviates the requirement of IID training data. First, the test and training data are projected onto the signal subspace. Then we adopt the criterion of the generalized likelihood ratio test (GLRT) to devise a detector, which can also serve as a filter. The resulting detector can properly work in sample-starved environment, where the number of IID training data is less than the dimension of the test data. Moreover, the devised approach is superior to the existing adaptive subspace processor in filtering and detection, even in some sample-abundant situations. Analytical expressions for the probabilities of detection and false alarm are derived for the proposed approach. Numerical examples are given to verify its effectiveness. 相似文献
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在竞争情报领域,弱信号越来越引起管理者的重视,但是由于无法对弱信号进行有效的分析,使得弱信号辅助决策的价值并不高。文章首先指出了传统的弱信号分析存在的3个问题,即收集的盲目性、分析的复杂性、结果的无指导性,认为反求工程思想可以有效解决这些问题,并进一步提出了包含反求工程思想的弱信号分析流程,最后以产品开发阐述反求工程思想如何应用于弱信号分析。 相似文献
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Helem Sabina Sánchez Damiano Rotondo Teresa Escobet Vicenç Puig Jordi Saludes Joseba Quevedo 《Journal of The Franklin Institute》2019,356(5):2798-2824
This paper proposes a frequency-based approach for the detection of replay attacks affecting cyber-physical systems (CPS). In particular, the method employs a sinusoidal signal with a time-varying frequency (authentication signal) into the closed-loop system and checks whether the time profile of the frequency components in the output signal are compatible with the authentication signal or not. In order to carry out this target, the couplings between inputs and outputs are eliminated using a dynamic decoupling technique based on vector fitting. In this way, a signature introduced on a specific input channel will affect only the output that is selected to be associated with that input, which is a property that can be exploited to determine which channels are being affected. A bank of band-pass filters is used to generate signals whose energies can be compared to reconstruct an estimation of the time-varying frequency profile. By matching the known frequency profile with its estimation, the detector can provide the information about whether a replay attack is being carried out or not. The design of the signal generator and the detector are thoroughly discussed, and an example based on a quadruple-tank process is used to show the application and effectiveness of the proposed method. 相似文献