基于卡尔曼西格玛点滤波算法的相干自适应接收GNSS信号无线电导航参数评估

V. V. Shavrin, V. I. Tislenko, V. Filimonov, V. Lebedev
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引用次数: 0

摘要

研究了航天器GNSS接收机中导航卫星信号无线电导航参数多环跟踪系统的构造算法。所研究的跟踪方案不包含无线电导航参数的鉴别器。估计的延迟、多普勒频移和相位是通过自适应滤波器中三个相关器的正交信号的联合处理而形成的,该滤波器由几个部分通道组成,调谐到输入信号的初始相位的不同值。采用卡尔曼西格玛点滤波算法对参数进行拟最优联合估计。研究了不同信噪比下的均方根误差估计和跟踪失败概率。
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Evaluation of the Radio Navigational Parameters of GNSS Signals in Coherent Adaptive Reception Mode Using the Kalman Sigma-Point Filter Algorithm
An algorithm for constructing a multi-loop tracking system for radio navigation parameters of navigation satellite signals in the GNSS receivers of spacecraft is considered. The examined tracking scheme contains no discriminators for radio navigation parameters. The estimated delay, Doppler shift and phase are formed through the joint processing of quadrature signals of three correlators in the adaptive filter, consisting of several partial channels tuned to different values of the initial phase of the input signal. Quasi-optimal joint estimation of the parameters is performed using the Kalman sigma-point filter algorithm. The RMS error estimates and the probability of tracking failure for different signal-to-noise ratios are studied.
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