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A positioning method of BDS receiver under weak signal circumstances based on Compressed Fractional-Step

机译:基于压缩分数步的BDS接收机在弱信号情况下的定位方法

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This article puts forward the compression fractional-step method which applies to the positioning of BDS receivers under weak signal circumstances. It then analyses the features of BDS constellation and improves the original algorithm based on various satellites’ dynamic conditions of mixed constellation. With respect to the ambiguity of the decimal of milliseconds arising from the clock error of receivers in the process of calculation, this article advances a processing mode of extending search dimension and a fractional-step method of employing the implied elevation information of receivers which is then substituted into the equation as the observed quantity to reduce the calculation amount of ambiguity. It concludes that in the most adverse circumstances this method can reduce nearly half of the calculation amount of the whole second fuzzy search of signals’ emission time. This article also brings forward the compression calculation method to compress the range between the approximate position and clock error based on the feature that the dynamic of non-MEO satellites among BDS satellites is small. Taking non-MEO satellites as calculation, satellites can reduce the accuracy requirements of the local clock of receivers. In theory, calculation through using pure GEO satellites can broaden the requirement from 187,5 s to 1500 s. In the light of simulation results, it turns out that when the elevation information is known and precise, the first step of fractional-step calculation is capable of meeting the requirement of positioning. Otherwise, the second step of calculation can obtain the accurate positioning and achieve the rapid positioning under weak signal circumstances.
机译:提出了压缩分数步法,该方法适用于信号弱的情况下BDS接收机的定位。然后,它分析了BDS星座的特征,并根据各种卫星的混合星座动态条件改进了原始算法。针对计算过程中接收机时钟误差引起的毫秒数的不确定性,本文提出了扩展搜索维数的处理方式,并提出了利用接收机隐含仰角信息的小数步法。将其代入方程式作为观察量以减少歧义的计算量。结论是,在最不利的情况下,该方法可以减少信号发射时间的整个第二模糊搜索的计算量的近一半。本文还提出了一种基于BDS卫星中非MEO卫星的动态性较小的特征来压缩近似位置和时钟误差之间的距离的压缩计算方法。以非MEO卫星为计算对象,可以降低接收机本地时钟的精度要求。从理论上讲,使用纯GEO卫星进行计算可以将要求从187,5 s扩展到1500 s。从仿真结果看,当高程信息已知且精确时,分步计算的第一步就可以满足定位的要求。否则,计算的第二步可以在信号较弱的情况下获得准确的定位并实现快速定位。

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