IEEE Communications Letters · 2013 · 42 citations · 9 references
EngineeringAerospace EngineeringSystems EngineeringGlobal Navigation Satellite SystemsAdaptive ControlKalman FilteringState EstimationAdaptive Kalman FilterFilteringNoise Equivalent PowerSignal-to-noise RatioSignal-to-noise Ratio AnalysisSignal-to-noise Ratio EstimationTuning
This paper presents a tuning method for an adaptive Kalman filter approach to efficiently track faded global navigation satellite system signals based on empirical knowledge of the signal-to-noise ratio with a special emphasis on equivalent noise bandwidths.
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