Masters Theses

Keywords and Phrases

Alamouti space-time block codes

Abstract

"This work focuses on variants of the conventional sphere decoding technique for Multi Input Multi Output (MIMO) systems. Space Time Block Codes (STBC) have emerged as a popular way of transmitting data over multiple antennas achieving the right balance between diversity and spatial multiplexing. The Maximum Likelihood (ML) technique is a conventional way of decoding the transmitted information from the received data, but at the cost of increased complexity. The sphere decoder algorithm is a sub-optimal decoding technique that is computationally efficient achieving a ;symbol error rate that is dependent on the initial radius of the sphere. In this thesis, the decreasing rate of the radius of the sphere is increased by using a scaling factor of less than unity. This allows the algorithm to examine less number of vectors compared to the original algorithm making it much more computationally efficient. The sphere decoding algorithm is largely focused on the Alamouti codes that have two antennas at the transmitter. This work extends the sphere decoding algorithm to other STBC having more than 2 transmit and receive antennas. The performance and the computational complexity of the fast sphere decoder is compared with that of the original sphere decoder and its variants"--Abstract, page iii.

Advisor(s)

Kosbar, Kurt Louis

Committee Member(s)

Venayagamoorthy, Ganesh K.
Grant, Steven L.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Spring 2007

Pagination

vii, 39 pages

Rights

© 2007 Praveen G. Krishnan, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Coding theory
Electronic books
Electronic dissertations
Error-correcting codes (Information theory)
MIMO systems
Space time codes

Thesis Number

T 9181

Print OCLC #

169949668

Electronic OCLC #

123132107

Share

 
COinS