A novel adaptive Kalman filter based NLOS error mitigation algorithm

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...

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...

Echo Cancellation: A Novel Adaptive Kalman Filter-Based Scheme

A novel adaptive echo cancellation scheme, using an accurate and reliable two-stage identification scheme and an adaptive Kalman filter (KF), is proposed. The novel scheme estimates a desired waveform from the received signal which is corrupted by an undesired echo and noise. It is assumed that the desired waveform and the echo are uncorrelated with each other, and that the reference waveform i...

Extended Kalman Filter Based Fuzzy Adaptive Filter

Kalman Filter Algorithm for Adaptive Digital Predistortion

This paper introduces a recursive algorithm of Kalman filter for digital predistorter parameters extraction based on memory polynomials predistorter model. The predistorter model is firstly formulated as linear regression expression. Then we derive the state-space equation of the model and attain the steps of the algorithm. Finally, the accuracy and stability of the algorithm is proved by simul...