Inlämning av Examensarbete / Submission of Thesis

Md. Jobayer Alam; Shaha Mohammed Goni Abed Sujan MEE 10:82, pp. 53. ING/School of Engineering, 2010.

The work

Författare / Author: Md. Jobayer Alam, Shaha Mohammed Goni Abed Sujan
alam1984_jewel@yahoo.com, sujan025@yahoo.com
Titel / Title: Low Complexity Channel Estimation for OFDM Systems Based on LS and MMSE Estimators’
Abstrakt Abstract:

In this paper we investigate the block-type pilot channel estimation for orthogonal frequency-division multiplexing (OFDM) systems. The estimation is based on the minimum mean square error (MMSE) estimator and the least square (LS) estimator. We derive the MMSE and LS estimators’ architecture and investigate their performances. We prove that the MMSE estimator performance is better but computational complexity is high, contrary the LS estimator has low complexity but poor performance. For reducing complexity we proposed two different solutions which are the Simplified Least Square (SLS) estimator and the modified MMSE estimator. We evaluate estimator’s performance on basis of mean square error and symbol error rate for 16 QAM systems. We also evaluate estimator’s computational complexity.

Ämnesord / Subject: Signalbehandling - Signal Processing
Telekommunikation - Telecommunications
Nyckelord / Keywords: Channel Estimation, OFDM, LS Estimator, MMSE Estimator, SLS estimator, Complexity calculation

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 09/28/2010
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)

Context

Handledare / Supervisor: Prof. Wlodek Kulesza
wlodek.kulesza@bth.se
Examinator / Examiner: Prof. Wlodek Kulesza
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: latest_final_version1111.pdf (1792 kB, öppnas i nytt fönster)