Channel estimation and tracking for closed loop EO-STBC with differentially encoding feedback

Mohammed Nuri Hussin, Stephan Weiss

Research output: Contribution to conferencePaper

Abstract

Extended orthogonal space time block coding (EO-STBC) can achieve high transmit diversity over a multiple-input multiple-output (MIMO) channel. To do so, it requires channel state information on the transmitter side, which needs to be estimated and fed back from the receiver. Therefore, this paper explores an estimation and tracking scheme by means of a Kalman filter, which is integrated with EO-STBC detection and exploits the smooth evolution of the channel coefficients by applying differential feedback. For slow fading, we propose the inclusion of a drift vector in the Kalman model, which is motivated by a second order approximation of the underlying channel model and can be shown to offer advantages in terms of temporal smoothness when addressing channels whose coefficient trajectories evolve smoothly.

Conference

Conference11th IEEE International Symposium on Signal Processing and Information Technology
CountrySpain
CityBilbao
Period14/12/1117/12/11

Fingerprint

Space-time block coding (STBC)
Channel estimation
Feedback
Channel state information
Kalman filters
Transmitters
Trajectories

Keywords

  • channel estimation
  • closed loop EO-STBC
  • differentially encoding feedback

Cite this

Hussin, M. N., & Weiss, S. (2011). Channel estimation and tracking for closed loop EO-STBC with differentially encoding feedback. 478-483. Paper presented at 11th IEEE International Symposium on Signal Processing and Information Technology, Bilbao, Spain. https://doi.org/10.1109/ISSPIT.2011.6151609
Hussin, Mohammed Nuri ; Weiss, Stephan. / Channel estimation and tracking for closed loop EO-STBC with differentially encoding feedback. Paper presented at 11th IEEE International Symposium on Signal Processing and Information Technology, Bilbao, Spain.6 p.
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abstract = "Extended orthogonal space time block coding (EO-STBC) can achieve high transmit diversity over a multiple-input multiple-output (MIMO) channel. To do so, it requires channel state information on the transmitter side, which needs to be estimated and fed back from the receiver. Therefore, this paper explores an estimation and tracking scheme by means of a Kalman filter, which is integrated with EO-STBC detection and exploits the smooth evolution of the channel coefficients by applying differential feedback. For slow fading, we propose the inclusion of a drift vector in the Kalman model, which is motivated by a second order approximation of the underlying channel model and can be shown to offer advantages in terms of temporal smoothness when addressing channels whose coefficient trajectories evolve smoothly.",
keywords = "channel estimation, closed loop EO-STBC , differentially encoding feedback",
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doi = "10.1109/ISSPIT.2011.6151609",
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note = "11th IEEE International Symposium on Signal Processing and Information Technology ; Conference date: 14-12-2011 Through 17-12-2011",

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Hussin, MN & Weiss, S 2011, 'Channel estimation and tracking for closed loop EO-STBC with differentially encoding feedback' Paper presented at 11th IEEE International Symposium on Signal Processing and Information Technology, Bilbao, Spain, 14/12/11 - 17/12/11, pp. 478-483. https://doi.org/10.1109/ISSPIT.2011.6151609

Channel estimation and tracking for closed loop EO-STBC with differentially encoding feedback. / Hussin, Mohammed Nuri; Weiss, Stephan.

2011. 478-483 Paper presented at 11th IEEE International Symposium on Signal Processing and Information Technology, Bilbao, Spain.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Channel estimation and tracking for closed loop EO-STBC with differentially encoding feedback

AU - Hussin, Mohammed Nuri

AU - Weiss, Stephan

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N2 - Extended orthogonal space time block coding (EO-STBC) can achieve high transmit diversity over a multiple-input multiple-output (MIMO) channel. To do so, it requires channel state information on the transmitter side, which needs to be estimated and fed back from the receiver. Therefore, this paper explores an estimation and tracking scheme by means of a Kalman filter, which is integrated with EO-STBC detection and exploits the smooth evolution of the channel coefficients by applying differential feedback. For slow fading, we propose the inclusion of a drift vector in the Kalman model, which is motivated by a second order approximation of the underlying channel model and can be shown to offer advantages in terms of temporal smoothness when addressing channels whose coefficient trajectories evolve smoothly.

AB - Extended orthogonal space time block coding (EO-STBC) can achieve high transmit diversity over a multiple-input multiple-output (MIMO) channel. To do so, it requires channel state information on the transmitter side, which needs to be estimated and fed back from the receiver. Therefore, this paper explores an estimation and tracking scheme by means of a Kalman filter, which is integrated with EO-STBC detection and exploits the smooth evolution of the channel coefficients by applying differential feedback. For slow fading, we propose the inclusion of a drift vector in the Kalman model, which is motivated by a second order approximation of the underlying channel model and can be shown to offer advantages in terms of temporal smoothness when addressing channels whose coefficient trajectories evolve smoothly.

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Hussin MN, Weiss S. Channel estimation and tracking for closed loop EO-STBC with differentially encoding feedback. 2011. Paper presented at 11th IEEE International Symposium on Signal Processing and Information Technology, Bilbao, Spain. https://doi.org/10.1109/ISSPIT.2011.6151609