Comparison of different MIMO-OFDM signal detectors for LTE

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Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu | Master's thesis
Date
2014-12-15
Department
Major/Subject
Radio Communications
Mcode
S3019
Degree programme
EST - Master’s Programme in Radio Science and Engineering
Language
en
Pages
51+5
Series
Abstract
Long Term Evolution (LTE), is a standard for radio communications of high-speed data transmission for mobile phones and data business [1]. It is based on the Global System for Mobile communications (GSM)/ Enhanced Data rate for GSM Evolution (EDGE) and Universal Mobile Telecommunications System (UMTS)/ High-Speed Packet Access (HSPA) network technologies, increasing the capacity and speed using new modulation techniques [1, 2]. Orthogonal frequency-division multiplexing (OFDM) and multiple-input multiple-output (MIMO) are the key technologies of LTE. MIMO technology can significantly increase channel capacity and spectrum efficiency without occupying any more bandwidth. Signal detection algorithms are studied in this thesis: Zero-Forcing (ZF) detector, Minimum Mean Square Error (MMSE) detector, Maximum Likelihood (ML) detector, QR decomposition with M-algorithm maximum likelihood detector (QRM-MLD) and Sphere Decoding (SD) detector. The results of the study show that the optimal signal detector is superior to other signal detectors on bit-error-rate (BER) performance. The BER performance in a correlated MIMO-OFDM scenario of the detectors are also studied.
Description
Supervisor
Tirkkonen, Olav
Thesis advisor
Tirkkonen, Olav
Keywords
signal detection, OFDM, MIMO, BER, spatial correlation
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