Mitigation of GPS Multipath Error Using Recursive Least Squares Adaptive Filtering

被引：0

作者：

Yedukondalu, K. ^{[1
]}

Sarma, A. D. ^{[2
]}

Kumar, Ashwani ^{[3
]}

机构：

[1] Bhoj Reddy Engn Coll Women, Dept ECE, Hyderabad 500059, Andhra Pradesh, India

[2] Osmania Univ, Res & Training Unit Navigat Elect, Hyderabad 500007, Andhra Pradesh, India

[3] Def Elect Res Lab, Hyderabad 500005, Andhra Pradesh, India

来源：

PROCEEDINGS OF THE 2010 IEEE ASIA PACIFIC CONFERENCE ON CIRCUIT AND SYSTEM (APCCAS) | 2010年

关键词：

GPS; Multipath Mitigation; RLS; Adaptive filtering;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Positional accuracy of GPS is limited by various error sources like ionosphere, troposphere, clock, instrumental bias, multipath etc. Among these, multipath errors are quite significant, since it should be dynamically modelled with respect to GPS receiver environment. In this paper, multipath error is estimated based on both code and carrier phase measurements using CMC (code minus carrier) method. It is verified with experimental static dual frequency GPS receiver data. The multipath time series data is applied to various Recursive Least Squares (RLS) adaptive filtering algorithms to minimize the multipath error. The results are encouraging and significant reduction of multipath error is observed. The convergence of RLS filters is faster than the conventional Least Mean Squares (LMS) adaptive filters. These RLS filters can also be applied to real time kinematic GPS applications.

引用

页码：104 / 107

页数：4

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