Synthesis of Processing Algorithm for Signals with Different Powers in Local Radio Navigation Systems

A. Perov
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引用次数: 2

Abstract

The paper is aimed at synthesizing and analyzing an optimal algorithm for co-tracking delays and phases of pseudolite signals of different power in local navigation systems using a theory of optimal parameter estimation for several signals received by a navigation receiver in the additive mixture of the receiver internal noise. The analysis of the synthesized tracking algorithm is based on the simulation modeling of a navigation receiver taking account of nonlinear processing in discriminators. New equations describing an optimal complex tracking system that compensate the interfering signals in the processing paths of several incoming signals have been obtained. It has been shown that the use of this system ensures a reliable reception of navigational signals of significantly different power, which is relevant for local navigation systems based on pseudolites. The obtained tracking algorithms can be used in navigation equipment of local pseudolite-based navigation systems and satellite radio navigation systems GLONASS, GPS, Galileo, etc., working with the support of local navigation systems, robust principal component analysis (RPCA), total variation (TV), discriminating internal layers from radio echo sounding data of ice sheets, conjugate gradient method.
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局部无线电导航系统中不同功率信号处理算法的综合
本文利用导航接收机接收到的多个信号在接收机内部噪声的加性混合条件下的最优参数估计理论,综合分析了局部导航系统中不同功率伪卫星信号的时延和相位共跟踪的最优算法。综合跟踪算法的分析是在对导航接收机进行仿真建模的基础上,考虑了鉴别器的非线性处理。给出了一种最优复杂跟踪系统的新方程,该系统在多个输入信号的处理路径中补偿干扰信号。研究表明,使用该系统可确保可靠地接收不同功率的导航信号,这与基于伪卫星的局部导航系统有关。所获得的跟踪算法可用于局部伪卫星导航系统和GLONASS、GPS、Galileo等卫星无线电导航系统的导航设备,在局部导航系统的支持下,鲁棒主成分分析(RPCA)、总变分(TV)、从冰盖无线电回波测深数据中区分内层、共轭梯度法等。
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