GPS软件接收机中C/A码信号捕获的圆周相关算法

采用圆周相关算法实现全球卫星定位系统(GPS)C/A码信号的捕获. 该算法用快速傅立叶变换将输入数据和本地产生的数据变换到频率域, 在频率域进行二者的圆周相关处理, 对相关结果反变换并找到其最大绝对值, 将该值与预先设定的门限值比较, 如果大于门限值, 则信号捕获成功. 圆周相关算法可实现快速获取GPS C/A码信号, 且灵敏度较高.     

Anomalous Geomagnetic Signal Emphasized before the Mw8.2 Coastal Alaska Earthquake,Occurred on 29 July 2021

A very strong earthquake of magnitude Mw8.2 struck the coastal zone of Alaska (USA), on 29 July 2021. This earthquake was felt around the Gulf of Alaska, on a wide offshore area belonging to USA and Canada. In order to identify an anomalous geomagnetic signal before the onset of this earthquake, we retrospectively analyze the data collected on the interval 17 June–31 July 2021, via internet, at the two geomagnetic observatories, College (CMO)—Alaska and Newport (NEW)—USA, by using the polarization parameter (BPOL) and the strain effect related to geomagnetic signal identification. Thus, for both observation sites (CMO and NEW), the daily mean distribution of the BPOL and its standard deviation (STDEV) are carried out using an FFT band-pass filtering in the ULF range (0.001–0.0083 Hz). Further on, a statistical analysis based on a standardized random variable equation is applied to emphasize the following: (a) the anomalous signature related to Mw8.2 earthquake on the both time series BPOL*(CMO) and BPOL*(NEW); (b) the differentiation of the transient local anomalies associated with Mw8.2 earthquake from the internal and external parts of the geomagnetic field, taking the NEW observatory as reference. Finally, on the BPOL*(NEW-CMO) time series, carried out on the interval 7–31 July 2021, a very clear anomaly of maximum, greater than 1.2 STDEV, was detected on 22 July, with 7 days before the onset of the Mw8.2 earthquake.     

Imaging and correlation used for guided laser lithotripsy

High-speed imaging of phenomena akin to laser lithotripsy is performed. A new method for guiding laser light for the stone destruction is proposed. This is based on a combination of signals obtained from the correlation of fluorescent and ballistic images.     

Study on the denoising method for the electromagnetic ultrasonic echoes from multiple interfaces

The electromagnetic ultrasound is used in the detection of interfaces of the adhesive multilayer structures to solve the unstable coupling problem in ultrasonic testing by traditional piezoelectric transducers. Based on the analysis of the transforming mechanism of electromag-netic ultrasound energy and the resultant dead zone from mutual inductance of the transducer, the wavelet filtering by soft-thresholding and adaptive noise canceling methods are used simul-taneously to the detected electromagnetic ultrasonic signals to overcome the drawbacks of the low signal to noise ratio （SNR） and the wide intrinsic dead zone of the transducer. Processed results in the interface detection of a three layered adhesive sample of steel and rubber materials demonstrate that the wavelet filtering enhances the SNR about 12dB while the adaptive noise canceling narrows the dead zone effectively.     

任意相位差条纹信号细分方法的研究

为消除传统细分方法中由于两路条纹信号不正交引入的细分误差，提出了一种可对任意相位差条纹信号直接细分的新方法。根据两路条纹信号的极性和幅值大小，把一个信号周期分成8个区段。高速采集两路条纹信号，通过判断信号采样点所处的区段是否跳变对信号幅值交点进行动态跟踪。对不足一个周期的条纹移动，当测量出起点与终点的幅值，计算出其所在的区段及位置后，结合两路信号的交点，可实现对任意相位差条纹信号的细分。实验结果表明，该方法突破了传统细分方法必须信号正交的限制，可对任意相位差信号进行准确地细分，降低了条纹测量中器件安装与调试的难度，具有更强的环境适应性和抗干扰能力。     

基于激光偏振特性的水下声信号探测方法研究

水下航行体辐射的声波传播到水-空气分界面上时,会在水表面形成微扰,使水表面元产生微倾角.提出一种利用激光偏振特性对水下声信号进行探测的方法,不直接利用散射光强信息,而是利用激光在布儒斯特角附近入射水表面时,反射光偏振特性随入射角剧烈变化的特点对水表面微扰进行高精度探测.建立了该方法的理论模型,得到了入射波、出射波垂直分...     

线性步进频率编码信号特性的研究

通过理论分析和实际计算,对线性步进频率编码信号(LSDFC)的模糊图、多普勒灵敏性和分辨力等特性进行了研究。结果表明这种信号易于产生和处理,适合用于要求大时宽大带宽的场合。     

高TcRF—SQUID测量人体磁场

新研制成功的、工作于液氮温度下的高临界转变温度超导量子干涉器(以下简写成为高Tc RF—SQUID),加上磁聚焦器之后,测量磁场的灵敏度已达10~(-12)T(10~(-(?)G).在国家地震局的零磁实验室中,我们用这样的RF—SQUID,初步地测得了与心脏跳动及手指动脉血流有关的人体磁信号.     

Robust序贯检测及窄带随机相位信号的Robust M-检测

Robust检测是信号检测的一个新分支,不仅可用于已知信号的检测,还可用于随机信号与随机参量信号的检测等方面.本文首先讨论将序贯检测方式引入有限样本的Robust检测,导出Robust序贯概率比检测器RSPRT,证明其具有提高信号处理速度和节约平均样本等优点.本文还针对雷达和声纳系统常遇到的窄带随机相位信号,研究如何利用位置参数M-估计方法和理论,导出了窄带随机相位信号的Robust M-检测器,经过计算机模拟证明具有良好的Robust性.     

信号极点估计的状态空间方法

研究了基于状态空间模型的阻尼指数和信号参数的估计方法，建立了阻尼指数和信号的状态空间状态空间模型，并进行了计算机模拟，该方法以奇异值分解和特征分解为基础，无需对高次方程求根，可以直接从系统状态传输矩阵得到信号的极点，结果表明，计算量小，具有较好的估计性能。