- Standard Kalman filtering can be used to approach this problem when the sensor noise is assumed to be Gaussian. We'll use robust Kalman filtering to get a more accurate estimate of the vehicle state for a non-Gaussian case with outliers.
- 5.5 dB was recorded over 100 consecutive RSSI readings, and 5 % of the measurements (5. readings) could not be detected (missing values). In those cases, the client device missed the beacon frame packets sent by the router. In order to filter out those outliers and make the measurement valid, we adopt the iterative recursive weighted average ...
- Tracking Mobile Nodes Using RF Doppler Shifts. Akos Ledeczi, Xenofon Koutsoukos Institute for Software Integrated Systems Vanderbilt University. Branislav Kusy Computer Science Department Stanford University. Published in Sensys 2007, Best paper Award Presenter: ahey. Outline.
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