Title :
A performance study of the extended Kalman algorithm as a HF channel estimator
Author :
McLaughlin, S. ; Mulgrew, B. ; Cowan, C.F.N.
Author_Institution :
Edinburgh Univ., UK
Abstract :
A study is made of the tracking and convergence properties of an extended Kalman (EK) algorithm as a high frequency (HF) channel estimator. This study uses the EK algorithm to adaptively estimate not only the time varying taps of the system but the parameters in the system model which generate the nonstationarity. This approach makes use of the a-priori knowledge of the HF channel to construct the extended Kalman algorithm for this system. Simulations are presented of the performance of the EK algorithm as a HF channel estimator for both white and coloured input signal conditions and are compared with the performance of the least mean square (LMS) and minimum variance Kalman (MVK) algorithms.<>
Keywords :
Kalman filters; filtering and prediction theory; radio systems; telecommunication channels; HF channel estimator; LMS algorithm; coloured input signal; convergence; extended Kalman algorithm; minimum variance Kalman algorithm; nonstationarity; performance study; radio systems; simulations; system model parameters; time varying taps; tracking; Communication channels; Filtering; Kalman filtering; Prediction methods;
Conference_Titel :
HF Radio Systems and Techniques, 1988., Fourth International Conference on
Conference_Location :
London, UK
Print_ISBN :
0-85296-358-0
