Adaptive Kalman filtering for fast fading removal

摘要

An adaptive Kalman filtering method and apparatus are used to process signal measurement data associated with the received radio signal. The signal measurement data includes a fast fading component and a slow fading component. The adaptive Kalman filtering process filters out the fast fading component of the signal measurement data but preserves to a large extent the slow fading components. This approach significantly improves the accuracy of the signal strength estimation and fast fading removal while at the same time significantly reduces the number of actual data samples required to remove that fast fading from the signal measurement data. This relaxes the speed and density requirements of the signal measurements, which in turn save time and costs.