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基于EKF的北斗B1C信号数据/导频联合跟踪方法
引用本文:赵琳,柏亚国,丁继成,章小春.基于EKF的北斗B1C信号数据/导频联合跟踪方法[J].全球定位系统,2020,45(6):1-9.
作者姓名:赵琳  柏亚国  丁继成  章小春
作者单位:哈尔滨工程大学智能科学与工程学院,哈尔滨150001;内蒙古航天红岗机械有限公司,呼和浩特010076
基金项目:国家自然科学基金重点项目(61633008);中央高校基本科研业务费专项资金(HEUCFP201768)
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. 

关 键 词:北斗B1C信号  跟踪环路  联合跟踪  扩展卡尔曼滤波  低载噪比
收稿时间:2020-08-17

Data/pilot joint tracking method of BeiDou B1C signal based on extended Kalman filter
Institution:1. Harbin Engineering University College of Intelligent System Science and Engineering, Harbin 150001, China;2. Inner Mongolia Aerospace Honggang Machinery Company Limited, Huhhot 010076, China
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. 
Keywords:
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