Masters Theses
Abstract
"The research work presented in this document is the continuation of the project to develop a Multiple Input Multiple Output (MIMO) system using band-limited signals in strong multipath environments. The modulation format used is Gaussian Frequency Shift Keying (GFSK). Band-limiting introduces controlled Inter-Symbol Interference (ISI), which along with a multipath environment degrades the features of the received signal waveform that are vital to the performance of standard symbol synchronization techniques. A low complexity algorithm was deemed necessary to counter this problem so that the benefits of conserving bandwidth would not be obviated by an expensive and elaborate receiver architecture.
Such an algorithm, based on the standard deviation of the eye-diagram of the received signals was developed. The performance of the algorithm was analyzed under different channel and system conditions. The algorithm could not only track variable baud rates but also provide optimum symbol sampling points, even for highly obscure eye-diagrams.
Another aspect of the project was tackled using the same principle of standard deviated of eye-diagrams: Dynamic Channel Estimation. MIMO systems require recurrent transmission of training symbols to maintain updated channel estimates. The rate of this transmission was determined by an algorithm that correlated statistical behavior of received signals with bit error rates"--Abstract, page iv.
Advisor(s)
Kosbar, Kurt Louis
Committee Member(s)
Grant, Steven L.
Moss, Randy Hays, 1953-
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2010
Journal article titles appearing in thesis/dissertation
- Symbol synchronization of GFSK modulated signals in a multipath environment
- A method for tracking the accuracy of channel estimates in MIMO receivers
Pagination
ix, 81 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2010 Abhishek Praphull Gupte, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Gaussian processes -- Data processingMIMO systemsModulation (Electronics)Signal processing
Thesis Number
T 9729
Print OCLC #
730946956
Electronic OCLC #
910556756
Recommended Citation
Gupte, Abhishek, "Symbol synchronization and dynamic channel estimation in Multiple Input Multiple Output systems using statistical analysis of eye diagrams" (2010). Masters Theses. 125.
https://scholarsmine.mst.edu/masters_theses/125