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Self-Assisted First-Fix Method for A-BDS Receivers with Medium- and Long-Term Ephemeris Extension

机译:具有中长期星历扩展的A-BDS接收器的自辅助优先修复方法

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摘要

As a sensor for standalone position and velocity determination, the BeiDou Navigation Satellite System (BDS) receiver is becoming an important part of the intelligent logistics systems under rapid development in China. The applications in the mass market urgently require the BDS receivers to improve the performance of such functions, that is, shorter Time to First Fix (TTFF) and faster navigation signal acquisition speed with Ephemeris Extension (EE) in standalone mode. As a practical way to improve such functions of the Assisted BDS (A-BDS) receivers without the need for specialized hardware support, a Self-Assisted First-Fix (SAFF) method with medium- and long-term EE is proposed in this paper. In this SAFF method, the dynamic Medium- and Long-Term Orbit Prediction (MIXOP) method, which uses the historical broadcast ephemeris data with the optimal configuration of the dynamic models and orbit fitting time interval, is utilized to generate the extended ephemeris. To demonstrate the performance of the MLTOP method used in the SAFF method, a suit of tests, which were based on the real data of broadcast ephemeris and precise ephemeris, were carried out. In terms of the positioning accuracy, the overall performance of the SAFF method is illustrated. Based on the characteristics of the medium- and long-term EE, the simulation tests for the SAFF method were conducted. Results show that, for the SAFF method with medium- and long-term EE of the BeiDou MEO/IGSO satellites, the horizontal positioning accuracy is about 12 meters, and the overall positioning accuracy is about 25 meters. The results also indicate that, for the BeiDou satellites with different orbit types, the optimal configurations of the MLTOP method are different.
机译:作为独立定位和速度确定的传感器,北斗导航卫星系统(BDS)接收器正在成为中国快速发展的智能物流系统的重要组成部分。大众市场中的应用迫切要求BDS接收器改善此类功能的性能,即在独立模式下使用星历扩展(EE)缩短首次定位时间(TTFF)和加快导航信号采集速度。作为一种无需辅助硬件支持即可改善辅助BDS(A-BDS)接收机功能的实用方法,本文提出了一种具有中长期EE的自辅助优先(SAFF)方法。在此SAFF方法中,利用了动态中长期轨道预测(MIXOP)方法,该方法使用具有动态模型的最佳配置和轨道拟合时间间隔的历史广播星历数据,来生成扩展星历。为了演示SAFF方法中使用的MLTOP方法的性能,基于广播星历和精确星历的真实数据进行了一套测试。在定位精度方面,说明了SAFF方法的总体性能。根据中长期EE的特点,对SAFF方法进行了仿真测试。结果表明,对于北斗MEO / IGSO卫星的中长期EE的SAFF方法,水平定位精度约为12米,整体定位精度约为25米。结果还表明,对于轨道类型不同的北斗卫星,MLTOP方法的最佳配置是不同的。

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