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771.
772.
轴频电场是可在水下探测到的一种运动舰船特征物理场,由于海水的衰减作用,其信号十分微弱。文章提出了一种基于小波包分解和滑动功率谱的微弱舰船轴频电场信号检测方法。首先,利用小波包变换对观测信号进行多子带分解;然后,分别提取各子带信号功率作为检测特征量,使用浮动门限对其进行滑动检测。实测数据和仿真数据处理表明,该方法能够在较低的信噪比条件下有效工作,性能优于传统的功率谱检测方法。 相似文献
773.
以对称三角形耦合振荡器阵列为本振阵列,分析了耦合本振振荡器的相位控制原理,推导了耦合本振稳定同步形成均匀的平面相位分布,且反对称地调节边界单元的自由振荡频率,可改变本振信号的线性相位分布,确定了加权矢量,得出波束形成方向图,并通过仿真验证了三角形耦合本振阵列天线阵接收波束形成的可行性。 相似文献
774.
In this paper, a method of using a root hinge drive assembly (RHDA) to control the solar array deployment is provided and a multi-DOF mechanism dynamic model of the system is established. In this way, the root hinge torque can be calculated iteratively. Then taking the predicted torque as a reference, a RHDA is designed for a large multiple-stage packaging and deployable solar array system. The control effect of the drive assembly is validated by ground tests. The test results indicate that the solar arrays can be deployed smoothly, and the deployment velocities are restricted by the drive assembly as expected. During the tests, the RHDA output speed and output torque are obtained. In order to examine the impact force when the yoke is lock-up with a hard stop, dynamics simulations are performed according to the actual behavior. The simulation result indicates that the designed RHDA reduces the impact force significantly and improves the lock-up reliability effectively. 相似文献
775.
基于X射线成像的焊缝缺陷自动检测技术对提高工业射线检测的自动化水平具有重要意义。焊缝缺陷在线连续检测的实时性要求较高,随着工件厚度的增加,其焊缝X射线实时图像的信噪比变得很低,使得已有的处理算法难以满足实时性以及有效处理缺陷误检与漏检之间的矛盾。针对这些问题,在分析了传统方法在厚壁工件X射线图像焊缝缺陷自动检测中存在的问题基础上,对传统方法进行了改进,提出了双阈值背景消除法和平行焊接方向波形分析法,然后利用所提出算法之间的冗余性和互补性,融合多种分割结果以解决缺陷误检与漏检之间的矛盾。试验结果表明,所提出的缺陷自动检测方法能够在满足实时性要求的同时,实现缺陷检出,有效避免误检。 相似文献
776.
由于可以制备出组织细小、均匀的Ti-Al系金属间化合物材料,粉末冶金技术在Ti-Al系金属间化合物材料的应用研究方面具有很强的优势.本文以Ti-23Al- 17Nb( at%)和Ti-45 Al-2Cr-2Nb-(B,W)(at%)为例,介绍了粉末冶金技术在Ti-Al系金属间化合物材料制备及成形方面的制备工艺、性能和部分样件,展示了Ti-Al系金属间化合物材料在航天及武器型号方面良好的应用前景. 相似文献
777.
The detection of sparse signals against background noise is considered. Detecting signals of such kind is difficult since only a small portion of the signal carries information. Prior knowledge is usually assumed to ease detection. In this paper, we consider the general unknown and arbitrary sparse signal detection problem when no prior knowledge is available. Under a Neyman-Pearson hypothesis-testing framework, a new detection scheme is proposed by combining a generalized likelihood ratio test (GLRT)-like test statistic and convex programming methods which directly exploit sparsity in an underdetermined system of linear equations. We characterize large sample behavior of the proposed method by analyzing its asymptotic performance. Specifically, we give the condition for the Chernoff-consistent detection which shows that the proposed method is very sensitive to the 2 norm energy of the sparse signals. Both the false alarm rate and the miss rate tend to zero at vanishing signal-to-noise ratio (SNR), as long as the signal energy grows at least logarithmically with the problem dimension. Next we give a large deviation analysis to characterize the error exponent for the Neyman-Pearson detection. We derive the oracle error exponent assuming signal knowledge. Then we explicitly derive the error exponent of the proposed scheme and compare it with the oracle exponent. We complement our study with numerical experiments, showing that the proposed method performs in the vicinity of the likelihood ratio test (LRT) method in the finite sample scenario and the error probability degrades exponentially with the number of observations. 相似文献
778.
779.
Radar equipment of stealth platforms such as aircraft have adopted the newest modern technology to design the signal waveforms. One of the important and effective methods is the hybrid waveform called spread spectrum stretch (S-cubed) which combines linear frequency modulation (LFM) and discrete phase code. In order to investigate the function of enemy’s stealth radar equipment, the interception algorithm of S-cubed is needed. In this paper, a novel detection and parameter estimation approach for the reconnaissance S-cubed radar signal is presented. First, the generalized time-frequency representation of Zhao, Atlas, and Marks (ZAM-GTFR) and Hough transforms (HT) are applied to detecting the signal, and then the initial frequency and modulation slope of LFM are estimated from the ZAM-GTFR. On the basis of LFM information, the reconstructing signal is generated. Finally, the code rate of discrete phase code is extracted from the negative peaks of the ZAM-GTFR. Simulation results show that the proposed algorithm has higher estimation accuracy when the signal to noise ratio (SNR) is above 3 dB. 相似文献
780.
基于声学风洞的麦克风阵列测试技术应用研究 总被引:2,自引:0,他引:2
根据声学风洞气动噪声试验研究的需求,介绍了一种适用于声学风洞试验的麦克风阵列测试技术,并针对声学风洞的特点,利用风洞射流剪切层修正方法,提高了麦克风阵列识别声源的精准度。通过数值仿真和在0.55m×0.4m声学风洞的试验研究,验证了麦克风阵列测试系统和麦克风阵列数据处理方法识别声源的能力。研究结果表明所采用的麦克风阵列测试技术可用于声学风洞试验。最后还采用36通道的麦克风阵列在0.55m×0.4m声学风洞开展了NACA23018翼型气动噪声试验研究,试验明显地观察到翼型后缘噪声,获得不同迎角下翼型的噪声特性。 相似文献