Detecting, estimating and correcting multipath biases affecting GNSS signals using a marginalized likelihood ratio-based method
GNSS multipath bias detection, identification and estimation. The approximate marginalized likelihood ratio test based on a Monte Carlo integration technique. Jensen?s inequality allows the Monte Carlo integration to be simplified. The multiple model algorithm is used to update the prior information for each bias magnitude sample.
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