• 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