Title :
Adaptive beamforming with position and velocity estimation for mobile station in smart antenna system
Author :
Ghali, Mohammed A. ; Abdullah, Abdulkareem S. ; Mustafa, Fawzi M.
Author_Institution :
Dept. of Electr. Eng., Univ. of Basrah, Basrah, Iraq
Abstract :
This paper presents an algorithm to estimate position and velocity of mobile station in a smart antenna system based on an electric field strength and the corresponding propagation times. This algorithm is called position and velocity estimation (PVE) algorithm. The PVE algorithm is then combined with the least mean square (LMS) algorithm to perform beamforming and position-velocity estimation. The beamforming with position-velocity estimator (BFPVE) algorithm is designed using the principle of maximum likelihood estimation, based on a two-element antenna array. The proposed algorithm is tested in MATLAB for fading channel condition.
Keywords :
adaptive antenna arrays; array signal processing; fading channels; least mean squares methods; maximum likelihood estimation; mobile communication; MATLAB; adaptive beamforming; electric field strength; fading channel condition; least mean square; maximum likelihood estimation; mobile station; position estimation; propagation times; smart antenna system; two-element antenna array; velocity estimation; Antenna arrays; Antenna radiation patterns; Array signal processing; Arrays; Convergence; Directive antennas; Mobile communication;
Conference_Titel :
Networked Computing and Advanced Information Management (NCM), 2011 7th International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-1-4577-0185-6
Electronic_ISBN :
978-89-88678-37-4
