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Adaptive Compensation Method Using the Prediction Algorithm for the Doppler Frequency Shift in the LEO Mobile Satellite Communication System

机译:LEO移动卫星通信系统中基于预测算法的多普勒频移自适应补偿方法

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摘要

In low earth orbit (LEO) satellite communication systems, more severe phase distortion due to Doppler shift is frequently detected in the received signal than in cases of geostationary earth orbit (GEO) satellite systems or terrestrial mobile systems. Therefore, an estimation of Doppler shift would be one of the most important factors to enhance performance of LEO satellite communication system. In this paper, a new adaptive Doppler compensation scheme using location information of a user terminal and satellite, as well as a weighting factor for the reduction of prediction error is proposed. The prediction performance of the proposed scheme is simulated in terms of the prediction accuracy and the cumulative density function of the prediction error, with considering the offset variation range of the initial input parameters in LEO satellite system. The simulation results showed that the proposed adaptive compensation algorithm has the better performance accuracy than All's method. From the simulation results, it is concluded the adaptive compensation algorithm is the most applicable method that can be applied to LEO satellite systems of a range of altitude between 1,000 km and 2,000 km for the general error tolerance level, M = 250 Hz.
机译:在低地球轨道(LEO)卫星通信系统中,与对地静止地球轨道(GEO)卫星系统或地面移动系统相比,经常在接收到的信号中检测到由于多普勒频移引起的更严重的相位失真。因此,估计多普勒频移将是提高LEO卫星通信系统性能的最重要因素之一。本文提出了一种新的自适应多普勒补偿方案,该方案利用了用户终端和卫星的位置信息,以及用于减少预测误差的加权因子。考虑到LEO卫星系统中初始输入参数的偏移变化范围,根据预测精度和预测误差的累积密度函数对所提方案的预测性能进行了仿真。仿真结果表明,所提出的自适应补偿算法比All方法具有更好的性能精度。从仿真结果可以得出结论,对于一般的误差容限水平M = 250 Hz,自适应补偿算法是最适用于海拔1000 km至2,000 km范围的LEO卫星系统的方法。

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