Research on navigation of satellite constellation based on an asynchronous observation model using X-ray pulsar

Pulsar navigation is a promising navigation method for high-altitude orbit space tasks or deep space exploration. At present, an important reason for restricting the development of pulsar navigation is that navigation accuracy is not high due to the slow update of the measurements. In order to improve the accuracy of pulsar navigation, an asynchronous observation model which can improve the update rate of the measurements is proposed on the basis of satellite constellation which has a broad space for development because of its visibility and reliability. The simulation results show that the asynchronous observation model improves the positioning accuracy by 31.48% and velocity accuracy by 24.75% than that of the synchronous observation model. With the new Doppler effects compensation method in the asynchronous observation model proposed in this paper, the positioning accuracy is improved by 32.27%, and the velocity accuracy is improved by 34.07% than that of the traditional method. The simulation results show that without considering the clock error will result in a filtering divergence.     

二维通道内湍流边界层分离的实验研究

用激光多普勒技术测量了二维扩压器中不可压湍流边界层分离流动，得到了时均速度和雷诺剪应力分布。实验结果分析表明：以Ｃｏｌｅｓ速度律发展的Ｂａｒｄｉｎａ速度分布可以描述瞬时间歇分离点以前和瞬时间歇再附点以后的时均速度分布，但无法描述分离区的边界层速度型。Ｃｒｏｓｓ速度分布可描述分离区的边界层速度分布。Ｃｅｂｅｃｉ＆Ｓｍｉｔｈ涡粘性代数模型难以正确地描述分离边界层的雷诺剪应力。     

星载合成孔径雷达回波多普勒频率的计算

从星载合成孔径雷达（ＳＡＲ）与目标的相对运动关系出发，以ＳＡＲ发射信号的波长、卫星的轨道参数和目标的位置（地心经纬度）为已知条件，导出了计算目标回小以的多普勒频率的解析公式，这对于星载ＳＡＲ系统的性能 初步设计具有重要作用。     

为中国开发太空探路 创中国首飞太空记录——纪念T-7系列探空火箭首次发射成功45周年

在中国第一个实用探空火箭系列——T-7系列探空火箭首次发射成功45周年之际，回顾了该系列火箭的研制由来和基本情况，论述了该系列火箭对中国开发中层大气和太空所起到的探路作用。     

Efficacy of Doppler ultrasound [correction of utrasound] for screening symptoms of decompression sickness during simulated extravehicular activities

Doppler ultrasound is frequently used for monitoring circulating microbubbles during decompression to assess the symptoms of Decompression Sickness (DCS). This analysis was carried out to evaluate its effectiveness for screening symptoms of DCS during simulated extravehicular activities (EVA). The information from various hypobaric chamber studies carried out at the NASA Johnson Space Center, Houston, TX was used in this analysis (n = 516). The circulating microbubbles were detected in the precordial area in 42% (218/516), and symptoms were reported in 16% (81/516) of these exposures. The accuracy of Doppler-detectable bubbles (Spencer grades) on all symptoms of DCS was examined by calculating measures of sensitivity and specificity. The efficacy of Doppler as a screening device was examined by calculating their positive predictive value (PPV) and negative predictive value (NPV). The results of these analyses indicated that the sensitivity of Doppler decreased, and the PPV increased with higher Spencer grades. However, the likelihood of detecting true negative cases (NPV) was consistently higher with all bubble grades. Due to the high false-positive rate and low prior probabilities of the risk of DCS, Doppler was found to be more useful to identify those who did not develop DCS, than to detect positive cases of DCS in the simulated EVA exposures.     

某工程频分制遥测系统设计与研制

介绍了某工程战斗弹上所用的频分制遥测系统 ,对该系统的遥测参数进行了分析 ,确定了六个主要参数可以对导弹的工作状态进行判断。并对遥测系统进行了分析 ,确定了系统的主要技术指标。最后对研制中所出现的几个关键技术问题进行了分析和讨论。靶试结果表明 ,该系统设计合理 ,为战斗弹的靶试提供了重要的参数。     

关于多普勒频率转换成距离变化率公式的讨论

利用多普勒效应原理对雷达测速的转换公式进行了讨论，指出在飞行器高精度轨道测量中，现行的测速转换公式存在较大的误差；给出了新的包含二阶项的测速转换公式，并导出了一个简便实用的直接在测量数据上进行该项误差修正的方法，同时进行了误差特性分析。实际计算表明：轨道测量数据进行二次修正后，匹配程度明显优于修正前。     

多卜勒湍流检测

对湍流目标进行检测,是多卜勒效应在现代机载气象雷达中的应用。鉴于目前在新型机载气象雷达中普遍装备了湍流信号处理电路,本文就有关的湍流目标及其检测原理和方法作简要介绍。     

典型电离层多普勒记录及其讨论

由于地面电离层多普勒频率偏移测量具有时间连续、设备相对简便等固有特征，它特别适合于扰监测。本文在整理北京大学电离层高频多普勒台站观测资料的基础上，给出了一些典型电离层多普勒效应观测现象，这些现象反映了多普勒的细致分析对电离层形态学研究有其特殊意义。利用IRI模型，对多普勒频移的太阳耀斑效应及电离层不规则结构对多普勒频移的影响进行了模拟计算，理论结果与观测基本一致，从而大体上解释了这些响应的物理机制。论文最后对观测到的一种特殊的记录类型－－S型描迹的具体成因作了详细的分析和讨论，指出在一定条件下，以一定相位速度水平传播的声重波可以产生这类记录，给出了相位速度和振幅等声重波参数与记录描迹形状的关系，这对从多普勒频移记录推演电离层中的波动特征有一定的帮助。     

An Artificial Neural Network based approach for estimation of rain intensity from spectral moments of a Doppler Weather Radar

By using a Doppler Weather Radar (DWR) at Shriharikota (13.66°N & 80.23°E), an Artificial Neural Network (ANN) based technique is proposed to improve the accuracy of rain intensity estimation. Three spectral moments of a Doppler spectra are utilized as an input data to an ANN. Rain intensity, as measured by the tipping bucket rain gauges around the DWR station, are considered as a target values for the given inputs. Rain intensity as estimated by the developed ANN model is validated by the rain gauges measurements. With the help of a developed technique, reasonable improvement in the estimation of rain intensity is observed. By using the developed technique, root mean square error and bias are reduced in the range of 34–18% and 17–3% respectively, compared to Z–R approach.