Abstract
A field trial over a period of four days has been conducted to investigate the impact of multipath in a highly obstructed environment and the capability of a Least Mean Square (LMS) adaptive filter to model and thereby reduce its effect. The multipath component of the GPS observations has been isolated by computing the double difference carrier phase residuals. Because multipath errors are a function of the satellite‐receiver geometry, the resulting daily time series show a repeated pattern of multipath contamination. The numerical analysis presented here demonstrates that adaptive filtering is able to identify and remove these repeated multipath errors. Besides a detailed description of the experimental procedure and the filtering results, a brief summary is also given of the theoretical background for the LMS adaptive filter.
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