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Sigma-Point Kalman Filter Algorithm in the Problem of GNSS Signal Parameters Estimation in Non-Coherent Tracking Mode in Spacecraft Autonomous Navigation Equipment
Gyroscopy and Navigation Pub Date : 2019-01-07 , DOI: 10.1134/s2075108718040089
V. V. Shavrin , V. I. Tislenko , V. Yu. Lebedev , V. A. Filimonov , A. S. Konakov

The paper presents a multiloop system for noncoherent tracking of the radionavigation parameters of global navigation satellite system (GNSS) signals in autonomous satellite navigation system. Comparative analysis of accuracies of traditional tracking system with discriminators and filter in the tracking loop and the proposed system without discriminators is conducted. RMS errors of estimates, pull-in range and the probability of signal acquisition are studied under various SNR values. Experimental tests of derived noncoherent tracking loop are performed.

中文翻译:

航天器自动导航设备非相干跟踪模式下GNSS信号参数估计问题中的西格玛点卡尔曼滤波算法

本文提出了一种用于非连续跟踪自主卫星导航系统中全球导航卫星系统(GNSS)信号的无线电导航参数的多环系统。进行了传统的跟踪系统中带有鉴别器和滤波器的跟踪系统与拟议的不带有鉴别器的系统的精度比较分析。在各种SNR值下研究估计的RMS误差,引入范围和信号获取的概率。对派生的非相干跟踪回路进行了实验测试。
更新日期:2019-01-07
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