Title :
Joint Channel and Velocity Estimation
Author :
Logothetis, Catharina Carlemalm ; Yao, Wenbing ; Logothetis, Andrew
Author_Institution :
Brunel Univ., Uxbridge
Abstract :
An algorithm for jointly tracking the Rayleigh fading channel and the mobile velocity is presented. The proposed scheme is based on the interacting multiple model (IMM) Algorithm. The IMM utilizes a bank of Kalman filter, each matched to a specific mobile velocity, and the output of the filters are linearly combined based on the instantaneous likelihood of the velocity-models. The proposed scheme allows the tracking of abrupt changes in the mobile velocity even in very low SNR environments.
Keywords :
Rayleigh channels; channel estimation; mobile radio; Rayleigh fading channel; SNR; channel estimation; interacting multiple model algorithm; mobile velocity; velocity estimation; velocity-models instantaneous likelihood; Algorithm design and analysis; Channel bank filters; Delay effects; Delay estimation; Fading; Matched filters; Mobile communication; Shadow mapping; Signal design; Velocity control;
Conference_Titel :
Networking, Sensing and Control, 2007 IEEE International Conference on
Conference_Location :
London
Print_ISBN :
1-4244-1076-2
Electronic_ISBN :
1-4244-1076-2
DOI :
10.1109/ICNSC.2007.372879
