A UWB Location Algorithm---Based on Adaptive Kalman Filter

GPS/TDOA Hybrid Location Algorithm Based on Federal Kalman Filter

Generally, accuracy of GPS(Global Positioning System) is higher than that of cellular network. But in tall building urban area or indoor, relatively weak GPS signal makes the positioning unstable and inaccurate. TDOA(Time Difference of Arrival) is one of the most widely used positioning methods in cellular mobile communication systems, but its accuracy is not high enough to meet the growing dem...

A Hybrid Adaptive Unscented Kalman Filter Algorithm

In order to overcome the limitation of the traditional adaptive Unscented Kalman Filtering (UKF) algorithm in noise covariance estimation for statement and measurement, we propose a hybrid adaptive UKF algorithm based on combining Maximum a posteriori (MAP) criterion and Maximum likelihood (ML) criterion, in this paper. First, to prevent the actual noise covariance deviating from the true value...

A novel adaptive Kalman filter based NLOS error mitigation algorithm

In this paper, we presented an algorithm for NLOS error mitigation based on adaptive Kalman filter with colored measurement noise. To eliminate NLOS error which induced by TOF-based distance measurements, a colored noise model is firstly established according to measurement noise and the filter parameters are adjusted dynamically based on the severity of NLOS environment. Then combined with ada...

Extended Kalman Filter Based Fuzzy Adaptive Filter

Vehicle Tracking based on Kalman Filter Algorithm

Received signal strength indicator (RSSI) is a difficult technique to accurately estimate the distance between two participating entities because of the obscure environmental factors that distort the signal’s strength. In this study, we demonstrate that RSSI can be used in combination with the Kalman Filter to identify the position of a node in a wireless vehicular network. By observing a serie...