Author(s): Rana Liaqat Ali, Shahid A Khan, Noman Raza, Safdar Ali, C. Xydeas, Hussan Ahmed
Journal: International Journal of Technology and Research
ISSN 2307-4892
Volume: 1;
Issue: 2;
Start page: 25;
Date: 2013;
Original page
ABSTRACT
Efficient wireless power transmission requires highly directive radiation pattern and maximum signal to noise interference ratio which can be achieved by Beamforming algorithms. A Hybrid Combination of Recursive Least Mean Square (RLS) and Least Mean Square (LMS) algorithm is proposed which converges to adequate results in terms of highly directive radiation pattern and maximum signal to noise interference ratio. This has been achieved by taking the favorable features of both RLS and LMS algorithms through intelligent switching between them, using a principle factor depending on minimum mean square error. Simulation results of proposed solution have verified its advantage in terms of interference rejection despite having the capability of faster convergence rate and efficient tracking of the targeted users.
Journal: International Journal of Technology and Research
ISSN 2307-4892
Volume: 1;
Issue: 2;
Start page: 25;
Date: 2013;
Original page
ABSTRACT
Efficient wireless power transmission requires highly directive radiation pattern and maximum signal to noise interference ratio which can be achieved by Beamforming algorithms. A Hybrid Combination of Recursive Least Mean Square (RLS) and Least Mean Square (LMS) algorithm is proposed which converges to adequate results in terms of highly directive radiation pattern and maximum signal to noise interference ratio. This has been achieved by taking the favorable features of both RLS and LMS algorithms through intelligent switching between them, using a principle factor depending on minimum mean square error. Simulation results of proposed solution have verified its advantage in terms of interference rejection despite having the capability of faster convergence rate and efficient tracking of the targeted users.
