Keywords and Phrases
Detection and cancellation; Sinusoidal variation; Wireless communication
"Fading channel estimation in wireless communication systems depends on an expected model for fading and any assumptions made about the channel itself. The bit error rate (BER) performance of the communication system is affected by how closely these assumptions made in designing the estimation technique match the deployment environment. Any unforeseen disturbances or hindrances in the environment deteriorate the BER performance of the system when the estimation system is not designed to combat such disturbances. To deal with such unforeseen obstacles, additional mathematical models can be proposed to model such disturbances and then the estimation techniques can either be reinforced with modular systems which work with the proposed models, or be redesigned as a whole with the help of actual observed data of the disturbances. The current thesis deals with such a scenario where sinusoidal variation is expected in the received power in addition to fading. A mathematical model of such power variation is assumed and a modular scheme is proposed to detect and combat the sinusoidal variation. The proposed scheme is tested by employing it in a simulated Multiple Input Multiple Output (MIMO) wireless communication system which adopts Space Time Block Coding (STBC) techniques"--Abstract, page iii.
Kosbar, Kurt Louis
Grant, Steven L.
Moss, Randy Hays, 1953-
Electrical and Computer Engineering
M.S. in Electrical Engineering
Missouri University of Science and Technology
ix, 67 pages
© 2015 Sushruth Sastry, All rights reserved.
Thesis - Open Access
Wireless communication systems
Adaptive signal processing
Space time codes
Electronic OCLC #
Sastry, Sushruth, "Detection and cancellation of sinusoidal fading power variation in wireless communication systems" (2015). Masters Theses. 7479.