基于光纤以太网的高精度分布式授时技术

White Rabbit(WR)时钟同步技术是综合了同步以太网、精密定时协议(IEEE1588v2)和数字相位测量技术而发展的分布式同步授时技术,能够实现数千米范围内多节点亚纳秒精度的时钟分发。该技术兼容标准以太网协议,不占用额外网络带宽,与数据链路直接集成,结构简单成本低。介绍了White Rabbit技术的基本技术原理及初步应用方法,并给出了各种拓扑结构下的测试结果。采用White Rabbit能很好地解决各种长距离多节点高精度授时需求,能够作为地基增强导航系统的关键支撑技术。     

航天测量船外测数据误差分析的小波方法

使用动态数据建模与误差分离技术以及小波分频方法,对船载外测数据进行处理分析,成功地分离出随机误差和船测数据特有的船体误差,并对船体误差给出了分析和合理的解释。结论表明,小波分频对认识和研究船测数据的误差是一种非常有效的方法。     

Median filtering algorithms for multichannel detectors

Particle detectors of worldwide networks are continuously measuring various secondary particle fluxes incident on Earth surface. At the Aragats Space Environmental Center (ASEC), the data of 12 cosmic ray particle detectors with a total of ∼280 measuring channels (count rates of electrons, muons and neutrons channels) are sent each minute via wireless bridges to a MySQL database. These time series are used for the different tasks of off-line physical analysis and for online forewarning services. Usually long time series contain several types of errors (gaps due to failures of high or low voltage power supply, spurious spikes due to radio interferences, abrupt changes of mean values of several channels or/and slowly trends in mean values due to aging of electronics components, etc.). To avoid erroneous physical inference and false alarms of alerting systems we introduce offline and online filters to “purify” multiple time-series. In the presented paper we classify possible mistakes in time series and introduce median filtering algorithms for online and off-line “purification” of multiple time-series.     

双混频时差测量系统设计中的理论和技术问题

从分析双混频时差(DMTD)测量系统的测量误差着手,对系统设计和使用中常磁到的一些理论和技术问题进行了探讨,这涉及到公共源的影响、移相器的作用、自校和测量中的其它问题。     

飞行中大气瞬时温度的获取

根据＊＊飞机上，ＣＷ－１００２和Ⅱ－５的试飞结果，对两种产品的性能做了对比分析；对飞行中大气温度的获取方法提出了的新意见。     

民用飞机通用地面支援设备选型程序浅析

为了满足航空公司/维修单位高效率、低成本的要求,在飞机的设计过程中,尽量减少专用地面支援设备的种类,以通用地面支援设备取代,成为了飞机主制造商及其供应商共同努力的目标,也成为了一种发展趋势。因此,在飞机运营及维护、维修过程中,通用地面支援设备的选型及程序显得越来越重要。     

民机防冰系统自然结冰试飞技术研究

结合某型民机自然结冰条件下防冰系统的试飞,对试飞所需的测试改装工作进行了总结,并对试飞前需进行的各种安全性评估进行了总结说明,明确了试飞中需考虑的各种构型情况,提出一套循序渐进的自然结冰试飞方法。同时提出了试飞中结冰气象参数的可接受性判据,最后针对自然结冰试飞中结冰气象参数的处理提出了分段等效处理的方法。     

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.