Data/pilot joint tracking method of BeiDou B1C signal based on extended Kalman filter
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摘要: 针对北斗B1C信号在低载噪比情况下跟踪精度低的问题,提出一种基于扩展卡尔曼滤波(EKF)的北斗B1C信号数据/导频联合跟踪方法.通过构建数据/导频双通道联合跟踪模型,增加对B1C信号利用率,并在联合跟踪模型的基础上引入扩展卡尔曼滤波器,削弱传统跟踪环路中鉴别器和环路滤波器带来的跟踪误差,进一步提高跟踪环路对低载噪比信号的跟踪性能.仿真结果验证:在低载噪比情况下,相比于传统单导频通道跟踪、单导频扩展卡尔曼跟踪和联合跟踪,该方法可以有效提高跟踪精度.Abstract: To improve the low tracking accuracy of BeiDou B1C signal under low carrier to noise ratio(CNR), we proposed a B1C signal data/pilot joint tracking method based on extended Kalman filter. By constructing a data/pilot dual channel joint tracking model, the utilization ratio of B1C signal is increased. To undermine the tracking errors introduced by discriminator and loop filter in traditional tracking loop, extended Kalman filter is applied on the basis of the proposed joint tracking model, which further improves the tracking performance of tracking loop for low carrier to noise ratio signal. The experimental results demonstrate that compared with the conventional single-pilot channel tracking method, single-pilot channel extended Kalman tracking method and joint tracking method, the proposed method can effectively enhance the tracking accuracy under low CNR.
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Key words:
- BeiDou B1C signal /
- tracking loop /
- joint tracking /
- extended Kalman filtering /
- low Carrier noise ratio
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