A GPS C/A Code Tracking Loop Based on Extended Kalman Filter with Multipath Mitigation
2002
Multipath is one of the dominant error sources in the GPS
positioning. It is well known that conventional DLL
tracking loop in GPS receiver would suffer from
performance degradation due to multipath. There are
several methods for mitigating the multipath problem.
The use of Extended Kalman Filter (EKF) to estimate
multipath component and extract the direct signal
component is an estimation-based approach for multipath
mitigation. In this paper, an EKF based DLL tracking
loop is proposed. To estimate the multipath components
multiple samples of C/A code autocorrelation function are
required and multiple correlators are used to provide them.
The I and Q correlator accumulator outputs are used as
measurements for the EKF estimation. The amplitude,
delay and phase of the direct and the reflected signal
components are estimated by the EKF.
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