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机构地区:[1]西安理工大学自动化与信息工程学院,陕西西安710048
出 处:《西安理工大学学报》2015年第3期328-334,共7页Journal of Xi'an University of Technology
基 金:国家自然科学基金资助项目(61273127;61304204);国家自然科学基金重点项目(61533014);陕西省科技创新团队资助项目(2013KCT-04)
摘 要:GPS接收机在高动态情况下,载波信号受到不同类型复杂噪声的干扰,且很难获得这些噪声的统计特性,而传统方法对噪声的处理都是假定其统计特性已知,因此,本文提出了一种基于集员滤波(SMF)的解决方案。该方法首先将噪声定义成一类未知但有界(UBB)噪声,然后利用椭球包含UBB噪声集合及状态集合,进而采用集员滤波的方法实现了载波信号的多普勒频率估计,最后通过Matlab仿真验证该算法的有效性,并与传统方法进行比较。较传递函数设计的PLL设计方法,提高了环路的动态适应性和精度;较Kalman滤波方法,提高了环路的鲁棒性和快速性。集员滤波为GPS接收机载波跟踪环路的设计提供了新的思路。In high dynamic condition,the carrier signal of GPS is interfered by different kinds of complex noises,and it is very difficult to obtain the statistic characteristics of the noise,but the traditional method is assumed that the statistic properties of the noise is known,accordingly,this paper proposes a solution based on set membership filter (SMF).Firstly,the noise is defined as an unknown but bounded (UBB)noise,and then the UBB noise set and the state set are con-tained by the ellipsoid,Doppler frequency estimation of carrier signal is accomplished by using the method of set membership filter next.Finally,the effectiveness of the proposed algorithm is verified by Matlab simulation and compared with the traditional method.Compared with the method based on transfer function of tracking loop,the proposed algorithm improves the dynamic adaptability and tracking precision;both robustness and speediness of the loop are improved com-pared with the performance of Kalman filter method.Accordingly,set membership filter is a new design method in the field of GPS receiver carrier tracking loop.
分 类 号:TN967.1[电子电信—信号与信息处理]
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