Dissertation/Thesis Abstract

Least Mean Square Adaptive Beamforming for Jammer Suppression
by Kheradmand, Mazyar, M.S., California State University, Long Beach, 2018, 32; 10837994
Abstract (Summary)

This report demonstrates the use of an enhanced Least Mean Square algorithm to perform suppression of an unwanted jammer present in a communication system. The enhanced LMS algorithm involves Discrete Fourier Transform of the collected signal at the receiver with an antenna array. An approach to system modeling is discussed and the results of the system simulation is presented. Several simulation cases with various system parameters are used to discuss and analyze the effectiveness of the modeled LMS beamforming algorithm at suppression of the jammer signal.

Indexing (document details)
Advisor: Yeh, Hen-Geul Henry
Commitee: Ahmed, Aftab, Wang, Fei
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 58/02M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Engineering
Keywords:
Publication Number: 10837994
ISBN: 978-0-438-56821-1
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