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An Effective Tracking Algorithm Based on Attenuation Kalman Filter for BOC Modulated Signals

机译:基于衰减Kalman滤波器的BOC调制信号的有效跟踪算法

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Binary offset carrier (BOC) modulation, which is widely used in global navigation satellite systems (GNSS), realizes spectrum separation and frequency band sharing. However, a little amplitude difference between the auto-correlation of main peak and side-peaks causes the ambiguous of acquisition and tracking and reduces anti-multipath ability. To solve this issue, this paper proposes a frequency phase early-late tracking method based on attenuation kalman filter (KFPELT) algorithm. Firstly, a group of carrier signals with early-late frequency are given by local NCO, and the demodulated signals are obtained by the multiplying of the carrier signals. Then, two groups of phase early-late pseudo-code signals given by local pseudo-code generator, which correlates with the demodulation signals. A loop filter based on attenuation kalman filter structure is designed to overcome the influence of multipath interference finally. Simulation results are presented to confirm the efficiency of the proposed algorithm.
机译:二进制偏移载波(BOC)调制,广泛用于全球导航卫星系统(GNSS),实现频谱分离和频带共享。然而,主峰和侧峰的自相关之间的幅度差异导致采集和跟踪的模糊和降低抗多径能力。为了解决这个问题,本文提出了一种基于衰减卡尔曼滤波器(KFPELT)算法的频率阶段早期跟踪方法。首先,通过局部NCO给出一组具有早期延迟频率的载波信号,并且通过乘法载波乘以解调信号。然后,由本地伪代码发生器给出的两组相位早期伪码信号,其与解调信号相关。基于衰减Kalman滤波器结构的环路滤波器旨在克服最终多径干扰的影响。提出了仿真结果以确认所提出的算法的效率。

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