一种基于多普勒改进的BDS单频观测值周跳探测与修复法

针对多普勒探测法对小周跳探测精度不足的缺点,提出一种改进的北斗系统(BDS)单频观测值周跳探测法.首先,利用多普勒观测值检测时,使用固定窗口滑动的方式对初始数个历元的多普勒值进行拟合得到拟合曲线,接着对拟合曲线进行积分得到多普勒变化量,然后用多普勒变化量与载波相位进行周跳探测,最后以高次差的方式将前后历元探测出的值进行历元求差,差值为最后探测出的周跳值.对实测BDS数据进行周跳探测,试验证明:改进的多普勒周跳探测法探测小周跳的能力明显增强,具有方法简单、可靠等优点,探测精度可达0.1周且修复效果较优.     

TurboEdit方法中周跳检测算法的改进

介绍GIPSY(GNSS-inferred positioning system)中周跳检测与修复的TurboEdit算法,在此基础上对TurboEdit方法的周跳检测条件进行分析,在用宽巷组合检测周跳的过程中采用滑动平均的方法替代宽巷模糊度中对每一历元之前的所有数据整体求平均的方法,同时在用电离层残差组合检测周跳中采用相邻历元的载波相位电离层残差组合求差的方法,从而避免引入观测噪声较大的伪距电离层残差组合。实验表明:改进后的TurboEdit法对于发生在观测数据质量不好时段的周跳、Turboedit法的检测盲点以及频繁周跳的检测能力都有所提高。     

GPS相位观测值的周跳改正自动化

总结了GPS相位数据预处理中探测周跳和修复周跳的方法,基于对这些方法的理解,介绍了一个比较有效的自动进行周跳修复的软件－－AUTCLN。在它的帮助下,可以减少大量的手工编辑操作,更加有铲地处理GPS数据。     

关于GPS载波相位中的野值周跳与模糊度

对于双频ＧＰＳ接收机,Ｇｉｐｓｙ软件可以对单站载波相位测量中野值,周跳进行自动检测与修复,本文用实测数据对Ｇｉｐｓｙ算法的效率进行评估。计算表明,对Ｐ码伪距的情形,该算法对周跳的修复基本无误;对Ｃ／Ａ码的伪距情形,则会有正负几周的误差。本文提出在Ｇｉｐｓｙ算法中加进小波方法,用来估计模糊度,计算表明,可极大地提高Ｇｉｐａｙ算法的效率。     

差分法周跳探测与修复方法改进

在目前常用的周跳探测与修复方法基础上 ,提出了首先将观测资料按照观测历元不连续分成若干小弧段 ,然后利用差分法进行周跳探测 ,根据差分后周跳放大的特性判断周跳和野值 ,并确定其位置利用宽带组合和电离层组合的方法解算周跳大小。通过实例验证了其有效性。     

差分法周跳探测与修复方法改进

在目前常用的周跳探测与修复方法基础上，提出了首先将观测资料按照观测历元不连续分成若干小弧段，然后利用差分法进行周跳探测，根据差分后周跳放大的特性判断周跳和野值，并确定其位置利用宽带组合和电离层组合的方法解算周跳大小。通过实例验证了其有效性。     

探月卫星同波束VLBI差分相位时延闭合计算与分析

针对同波束干涉测量中差分相位时延模型验证、解算结果周跳检测与校正问题进行分析。给出了相位闭合和差分相位时延闭合计算原理与方法,并以SELENE任务中解算的差分相位时延数据为算例进行分析,差分相位时延闭合计算结果小于几皮秒。验证了差分相位时延基于同一波前的模型,可用于对差分相位时延中周跳问题进行检测,可对数据波动情况进行监视,为数据后处理提供依据。在实际应用中,该方法可随着数据处理过程的推进同步进行,因此,十分有利于同波束干涉测量方法的实时实施,并应用于卫星导航。     

基于广义延拓外推的单频周跳检测与修复方法

周跳的检测和修复一直是全球定位系统载波相位测量中必经解决的重要问题,目前已有不少解决方法,然而适用于单频粗码定位中的周跳检测和修复方法并不多,针对单频粗码定位中周跳的检测与修复问题,通过广义延拓外推法结合单星相邻历元相位单差对单频粗码定位中的周跳进行检测和修复。仿真和实测数据表明广义延拓外推法不仅能够快速地检测和修复1周左右的小周跳,且外推稳定度要比经典的多项式拟合法高50%以上。该方法执行效率高、实用性强、外推稳定度好,是比较适合在工程中应用的一种新方法。     

一种基于相位条纹的高精度码相位测量方法

全球导航卫星系统(Global Navigation Satellite System,GNSS)接收机在接收卫星信号后,经过捕获、跟踪,得到码相位与载波相位两个基本测量值,然后通过测量值计算卫星与接收机之间的距离.载波相位测量值比码相位测量值具有更高的测量精度,但由于载波相位测量值具有计算整周模糊度的问题,得到高精度...     

LP估计在星载GPS运动学定轨中的应用及精度分析

为得到高精度的星载GPS运动学定轨,必须利用观测精度高的相位观测值,但是相位观测值预处理后,仍然存在残余小周跳．在残差服从正态分布情况下LS法是最佳参数解算方法,但该方法不能解决资料的系统误差消除问题,LP估计是处理资料残差分布含有系统误差的有效方法之一．基于LS、LP方法的有效条件和GPS数据预处理的特性,将LP估计方法引入星载GPS运动学定轨数据处理中,以CHAMP卫星资料为例,研究了LP估计在星载GPS运动学定轨中的应用及其精度分析．实践表明:在处理含有残余小周跳的相位观测值时,LP估计比LS更有效,提高了星载GPS运动学定轨精度,但随着残余周跳的进一步修复,LP估计相对于LS估计的优越性越来越弱,在资料完全没有系统误差,残差服从正态分布的情况下,LP估计不能很好地体现其优越性,精度反而低于LS估计．     

单频GPS周跳检测与估计算法

提出一种单频GSP载波相位中的野值，周跳俭测与模糊度估计算法，采用三阶多项式的卡尔曼滤波检测野值与周跳，而用一种最佳小波估计模糊度，该算法适用于采样间隔为1秒的载波相位测量，用1995．6．22Topex星载GPS数据计算的结果表明，它有限高的效率，可以准确估计信号中断几秒内的模糊度。     

An algorithm for detecting and estimating cycle slips in single-frequency GPS

An algorithm for detecting outliers and cycle slips in single-frequency GPS using a 3rd order polynomial model of the Kalman filter and for estimating the ambiguity by using optimal wavelet is presented in this paper. It is applicable to the carrier phase measurement with sample rate of one per second. The results of calculation with the GPS data aboard satellite Topex on 1995 June 22 show that the algorithm is so efficient that it can accurately estimate the ambiguity even for signals interrupted by a few seconds.     

GPS载波相位在频率测量中的应用

讨论了载波相位测量在频率对比测量中的应用方法与可能遇到的问题,以及该方法所能达到的测频精度。     

高精度国际时间比对的进展

在过去的４５ｙｒ中原子频标的性能大约每７ｙｒ提高一个数量级,从国际标准时间和各国高精度守时的需要出发,远距离的高精度时间频率传递比对技术也有与之相适应的很大的发展。ＧＰＳ卫星在近２０ｙｒ中不仅成为导航定位不可缺少的工具,在时间、频率的方面也发挥出巨大威力;近年来多通道“全视接收”技术的发展钎时频传输比对的稳定性有了重大改善;ＧＬＯＮＡＳＳ卫星系统在高精度时间比对方面正在成为ＧＰＳ系统的重要补充手段     

Comparison between Windowed FFT and Hilbert-Huang Transform for Analyzing Time Series with Poissonian Fluctuations: A Case Study

Hilbert-Huang Transform (HHT) is a novel data analysis technique for nonlinear and non-stationary data. We present a time-frequency analysis of both simulated light curves and an X-ray burst from the X-ray burster 4U 1702-429 with both the HHT and the Windowed Fast Fourier Transform (WFFT) methods. Our results show that the HHT method has failed in all cases for light curves with Poissonian fluctuations which are typical for all photon counting instruments used in astronomy, whereas the WFFT method can sensitively detect the periodic signals in the presence of Poissonian fluctuations; the only drawback of the WFFT method is that it cannot detect sharp frequency variations accurately.     

Comparison of neural network and McNish and Lincoln methods for the prediction of the smoothed sunspot index

In this paper we propose a comparison between two methods for the problem of long-term prediction of the smoothed sunspot index. These two methods are first the classical method of McNish and Lincoln (as improved by Stewart and Ostrow), and second a neural network method. The results of these two methods are compared in two periods, during the ascending and the declining phases of the current cycle 22 (1986–1996). The predictions with neural networks are much better than with the McNish and Lincoln method for the atypical ascending phase of cycle 22. During the second period the predictions are very similar, and in agreement with observations, when the McNish and Lincoln method is based on the data of declining phases of the cycles.     

Research on the Methods of Performance Monitoring and Evaluation for Active Hydrogen Maserstwo

Active hydrogen maser is the main frequency standard for establishing and maintaining the time scale. It has the characteristics of high short-term stability and low phase noise. At present, it plays an increasingly important role in the international atomic time (TAI) and various local time scales. Firstly, in combination with the internal state parameters of an active hydrogen maser, the correlation between the internal state parameters and the comparison data of a hydrogen maser is analyzed, and a method for the performance monitoring of a hydrogen maser is proposed. Secondly, according to the characteristics of hydrogen maser performance, a method for evaluating the performance of a hydrogen maser is given. The hydrogen maser performance includes mainly two aspects, namely the frequency stability and predictability. The performances of two types of active hydrogen masers (CH1-75 and MHM-2010) are evaluated by this method. The correlation analysis of the atomic clock state parameters and comparison data shows that the state parameter monitoring can effectively predict the variation of the hydrogen maser performance. The evaluation results of atomic clock frequency stability and predictability show that the atomic clock with a higher medium-and-long term frequency stability has a better predictability. There are two methods for the predictability evaluation, one is based on the data published by BIPM (Bureau International des Poids et Measures), and another one is based on the quadratic model. Both methods are consistent with the weights published by BIPM. Therefore, the two methods can be used as a quantitative method to evaluate the predictability of a hydrogen maser.     

CoRoT data reduction by example

Data reduction techniques published so far for the CoRoT N2 data product were targeted primarily on the detection of extrasolar planets. Since the whole dataset has been released, specific algorithms are required to process the lightcurves from CoRoT correctly. Though only unflagged datapoints must be chosen for scientific processing, some flags might be reconsidered. The reduction of data along with improving the signal‐to‐noise ratio can be achieved by applying a one dimensional drizzle algorithm. Gaps can be filled by linear interpolated data without harming the frequency spectrum. Magnitudes derived from the CoRoT color channels might be used to derive additional information about the targets. Depending on the needs, various filters in the frequency domain remove either the red noise background or high frequency noise. The autocorrelation function or the least squares periodogram are appropriate methods to identify periodic signals. The methods described here are not strictly limited to CoRoT data but may also be applied on Kepler data or the upcoming PLATO mission. (© 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)