悬挂发射装置的总体设计方法研究

以高压气体作为弹射能源为思路，研究了悬挂发射装置的动作过程和运动规律，提出了一套新型悬挂发射装置的设计方法。对近年来逐步发展的现代设计方法如何在悬挂发射装置设计中推广应用，指导新型悬挂发射装置研制的全过程作了阐述。本文考虑多种因素的影响，应用变质量系统的能量方程和牛顿第二定律建立气压传动装置的数学模型；将拉氏方法和机构动力学引入弹射机构装置的数学建模中，在求解考虑管壁摩擦和截面积变化的准一维非定常流守恒型方程组时采用算子分裂技巧来构造差分格式，本文将小波分析中奇异性检测理论应用到结构优化，对基于系统仿真技术的动力学参数，结构尺寸，气源参数和导弹重量等进行多目标全面优化，将小波分析中非线笥浮动阈值去噪理论应用到含噪试验的数据处理中，取得比传统降噪滤波及一般的小波和小波包逆变换重建信号更好的效果；将模糊数学理论应用到系统的可靠性分析和综合评判中，可以更好地完善系统的设计方案，运用弹射投放性能测试技术对悬挂发射装置的设计方案进行了试验验证。     

随机脉位序列调制的脉冲多卜勒引信原理

提出一种新型的噪声脉中多卜勒引信，即随机脉位序列调制的脉冲多卜勒引信，给出了其原理实现框图和随机脉位序更调制码的产生方案，分析了其工作原理和数学模型，研究了它的抗干扰特性。分析表明，它具有良好的抗干扰特性，同时不会出现距离速度模糊，是一种较佳的脉冲多卜勒引信。     

微波噪声校准系统介绍

新的．极低噪声放大器的研制开发和广泛使用，微波系统的结构日趋复杂，微波工程测量能力下断提高，但热噪声仍然是今天微波系统性能的主要限制。例如，远距离卫星通信工程对卫星转发器的接收机和地球站接机的噪声特性提出很高的要求。因此，准确地测量系统的噪声以及时噪声发生器进行准确校准的需求非常迫切。本文叙述自己研制的噪声源校准系统的基本原理，分析超噪比校准不确定度，提供具体的校准实例，提出进一步提高校准准确度的途径。     

基于人工噪声神经网络BP算法的火箭发动机故障仿真与检测

研究了用于液体火箭发动机故障仿真与故障检测的神经网络ＢＰ算法。在ＢＰ算法中采用了加噪声等技术来避免系统误差陷入局部极小，训练出精度高（误差小于０．０２）的神经网络，试验表明：神经网络ＢＰ算法成功地用于故障仿真与故障检测。     

减压阀噪声和振动的控制

文中给出控制减压阀噪声和振动的新方法。文中指出:如果稳定系数S_r<1,阀有可能出现噪声和振动;如果稳定系数S_r>1,阀就无噪声和振动。计算和实验比较证明,该方法是可行的。     

A comprehensive study of the 2016 Mw 6.0 Italy earthquake based on high-rate (10 Hz) GPS data

The 2016 M_w 6.0 Italy earthquake is successfully recorded by the near-field 10?Hz GPS and 200?Hz Strong Motion (SM) stations, providing valuable data for this study. A comprehensive study of this earthquake is carried out based on GPS data, which contains coseismic deformations analysis, noise analysis, seismic wave picking, and magnitude determination. The noise of most GPS-derived displacement waveforms can be described as a combination of white noise, flicker noise, and random walk noise after the earthquake occurrence, and the spectral indices vary significantly for most stations, implying that the seismic signals have affected the noise characteristic of GPS-derived displacement waveforms. S-transform is employed to assess the GPS capability to detect the seismic arrival time. The SM station AMT and the GPS station AMAT are in good agreement in seismic wave picking, and the difference is only 1.2?s in the north component, suggesting that the outcome of seismic wave picking using GPS data is reliable. Then, a classic empirical formula is employed to determine the moment magnitude. A robust moment magnitude (Mw 5.90) can be estimated by the nine GPS stations with about 23.9?s. If four GPS stations near the epicenter is chosen to determine the magnitude, it only take 13.0?s to retrieve a reliable preliminary (Mw 5.82) magnitude, which is 5.4?s ahead of nine stations. In addition, Cross Wavelet Transform (XWT) is adopted to measuring the correlation and phase relationship between GPS and SM records. The result of XWT analysis indicates 10?Hz GPS is capable of capturing reliable and accurate coseismic dynamic deformations, as evidenced by the XWT-based semblance being close to 1 between GPS and SM records. The above results confirm the capability of 10?Hz GPS to capture coseismic dynamic deformations, detect seismic arrival time, and determine earthquake magnitude. Moreover, rapid magnitude determination based on 10?Hz GPS data can be regarded as an important supplement to Earthquake Early Warning (EEW).     

基于循环平稳性的噪声调频干扰高分辨测向方法

根据噪声调频信号循环平稳特性分析,提出了基于阵列接收信号循环均值-空域处理的波达方向(DOA)估计算法。仿真结果表明:该算法的角度估计性能明显高于比幅比相单脉冲测角法,且在高信噪比环境中,该法的估计性能更好、运算量较小。     

原子钟调相白噪声降噪方法

原子钟的五种噪声反映了它在一定时间间隔内的性能。当取样间隔小于1h，原子钟主要表现为调相白噪声。在地方协调时UTC（NTSC）的实时监控中，不仅要求参考原子时（RTA，用于地方协调时控制的参考）具有很高的长期稳定度，而且要求其短期稳定度亦很高。影响RTA短期稳定度的主要是个台原子钟的调相白噪声。首先讨论了确定原子钟短期噪声的方法，进而利用小波分析方法研究了原子钟凋相白噪声分离与降噪的方法。     

风扇进口噪声预测模型的改进

针对Heidmann模型对风扇进口低频噪声(1k Hz)预测结果偏低的情况,通过引入风扇叶尖弦长雷诺数和相关几何参数改进了Heidmann模型中风扇进口宽频噪声的频谱修正函数,确定了其中频谱修正系数为0.085。对比改进模型和Heidmann模型的风扇进口噪声预测结果发现:在亚声速工况下,改进的模型很好地改善了风扇进口低频噪声的预测结果,改进幅值可以达到约45d B;而在超声速工况下,由于风扇进口产生的组合单音噪声成为风扇进口噪声的主要组成部分,除了在小于100Hz的频域内,改进的模型与Heidmann模型的预测结果差别不大。     

Noise analysis of continuous GPS coordinate time series for CMONOC

The Crustal Movement Observation Network of China (CMONOC) is one of the major scientific infrastructures, mainly using Global Positioning System (GPS) measurements, to monitor crustal deformation in the Chinese mainland. In this paper, decade-long coordinate time series of 26 continuous GPS sites of CMONOC are analyzed for their noise content using maximum likelihood estimation (MLE). We study the noise properties of continuous GPS time series of CMONOC for the unfiltered, filtered solutions and also the common mode signals in terms of power law plus white noise model. In the spatial filtering, we remove for every time series a common mode error that was estimated from a modified stacking of position residuals from other sites within ∼1000 km of the selected site. We find that the common mode signal in our network has a combination of spatially correlated flicker noise and a common white noise with large spatial extent. We demonstrate that for the unfiltered solutions of CMONOC continuous GPS sites the main colored noise is a flicker process, with a mean spectral index of ∼1. For the filtered solutions, the main colored noise is a general power law process, indicating that a major number of the filtered regional solutions have a combination of noise sources or local effects. The velocity uncertainties from CMONOC continuous GPS coordinate time series may be underestimated by factors of 8–16 if a pure white noise model is assumed. In addition, using a white plus flicker noise model, the median values of velocity errors for the unfiltered solutions are 0.16 (north), 0.17 (east) and 0.58 (vertical) mm/yr, and the median values for the filtered solutions are 0.09 (north), 0.10 (east) and 0.40 (vertical) mm/yr.