Dissertation/Thesis Abstract

Adaptive nulling in multiple beam antennas using quantized state adaptive algorithms
by Joshi, Rajkumar A., M.S., California State University, Long Beach, 2010, 124; 1486539
Abstract (Summary)

One of the main objectives of the antenna system used in satellite communication is to provide high coverage amid any interference. The Multiple Beam Antenna is extensively used in the Satellite communications due to its advantages over other types of antennas. SMI, RLS, LMS, QS and other algorithms have been applied to the case of Multiple Beam Antennas. The QS state adaptive algorithms proposed by Kumar have superior performance over other algorithms in terms of its robustness to the mathematical precision and hence its real time application using Digital Signal Processors. From the results it is shown that the QS algorithm has almost the same convergence rate as the computationally intensive SMI algorithm and provides better coverage than the SMI algorithm. Three different MBA antenna modeling methods are discussed. MATLAB ® scripts have been developed to simulate the interference nulling using different algorithms.

Indexing (document details)
Advisor: Kumar, Rajendra
School: California State University, Long Beach
School Location: United States -- California
Source: MAI 49/01M, Masters Abstracts International
Subjects: Electrical engineering
Publication Number: 1486539
ISBN: 978-1-124-25120-2
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