Variable length LMS adaptive filter for pseudorange multipath mitigation based on SydNET stations
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Huicui Liu
Abstract
Multipath effects on pseudorange measurements even after antenna design improvements and signal processing are still significant, and can't be ignored in many cases. Data processing techniques to mitigate multipath effects, Least Mean Square (LMS) filters specifically, are investigated in this paper.
Since the multipath effects repeat every sidereal day, if the receiver environment is unchanged, the strong correlation between two successive days' pseudorange observations, which is assumed to be mostly due to multipath effects, can be extracted by an LMS filter. In addition, the frequency shifting characteristics of the two successive days' correlation vector demands an adaptive filter. In this paper the performance of two LMS adaptive filters, the standard LMS adaptive filter and the variable length LMS (VLLMS) adaptive filter, are investigated. This paper reports the results from an analysis of observation data from SydNET CORS receivers.
© de Gruyter 2009
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Articles in the same Issue
- A 3D optical deformation measurement system supported by knowledge-based and learning techniques
- Characterisation of current and future GNSS performance in urban canyons using a high quality 3-D urban model of Melbourne, Australia
- Quality assessment of a network-based RTK GPS service in the UK
- Variable length LMS adaptive filter for pseudorange multipath mitigation based on SydNET stations
- Crustal deformation in Australia measured by satellite radar interferometry using ALOS/PALSAR imagery
- Investigation of the parameters controlling the crest settlement of a major earthfill dam based on the threshold correlation analysis
- News Section
