DocumentCode
1844288
Title
LTF-based vs. pilot-based MIMO-OFDM Channel Estimation algorithms: An experimental study in 5.2 GHz wireless channel
Author
Samingan, A.K. ; Suleiman, I. ; Rahman, A. A Abdul ; Yusof, Z. Mohd
Author_Institution
Lingkaran Teknokrat Timur, Telekom Res.&Dev. Sdn. Bhd., Cyberjaya, Malaysia
fYear
2009
fDate
15-17 Dec. 2009
Firstpage
794
Lastpage
800
Abstract
This paper outlines two classes of channel estimation (CE) techniques, namely the long training field (LTF)-based CE as well as the pilot-based CE. Both LTF and pilot patterns are taken from the 802.11n Draft 2.0 standard. The performance of these two CE classes is evaluated with the aid of actual captured data, provided by experiments under two different propagation scenarios. The first scenario represents the slow time-varying channels, which involve line-of-sight (LOS) outdoor transmission over a distance of 7.5 km. By contrast, the second case corresponds to a Non-LOS indoor environment, where the transmitter and receiver are approximately 15 meters apart, and located in different rooms. Our experimental study shows that the LTF-based CE outperforms the pilot-based CE for slow time-varying outdoor LOS channels, while for indoor NLOS channels, it fails completely. On the other hand, pilot-based CE works in both test cases. Unfortunately, this method is very sensitive to timing synchronization.
Keywords
MIMO communication; OFDM modulation; channel estimation; time-varying channels; wireless channels; 802.11n Draft 2.0 standard; line-of-sight outdoor transmission; long training field; pilot-based MIMO-OFDM channel estimation algorithms; time-varying channels; wireless channel; Bandwidth; Bit error rate; Channel estimation; Frequency division multiplexing; MIMO; OFDM modulation; Samarium; Time-varying channels; Transmitters; Wireless communication; LTF-based channel estimation; MIMO; OFDM; Pilot-based channel estimation; actual captured data;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (MICC), 2009 IEEE 9th Malaysia International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-5531-7
Type
conf
DOI
10.1109/MICC.2009.5431387
Filename
5431387
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