TY - GEN
T1 - Loss characterization of distributed space-time transmit beamforming with embedded channel probing
AU - Margetts, Adam R.
AU - Torkildson, Eric G.
AU - Bliss, Daniel W.
PY - 2012/11/6
Y1 - 2012/11/6
N2 - Distributed space-time transmit beamforming approaches potentially improve the throughput and robustness of wireless communications links. In this paper, we propose a distributed, space-time, transmit beamformer formulation that performs simultaneous data transmission and channel probing in the presence of interference. The difficulty is that the data signal corrupts the whitened channel estimate and leads to a loss in signal-to-interference and noise ratio. We examine this loss relative to the optimal solution and propose a diagonal loading technique to reduce the loss.
AB - Distributed space-time transmit beamforming approaches potentially improve the throughput and robustness of wireless communications links. In this paper, we propose a distributed, space-time, transmit beamformer formulation that performs simultaneous data transmission and channel probing in the presence of interference. The difficulty is that the data signal corrupts the whitened channel estimate and leads to a loss in signal-to-interference and noise ratio. We examine this loss relative to the optimal solution and propose a diagonal loading technique to reduce the loss.
UR - http://www.scopus.com/inward/record.url?scp=84868259450&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868259450&partnerID=8YFLogxK
U2 - 10.1109/SSP.2012.6319683
DO - 10.1109/SSP.2012.6319683
M3 - Conference contribution
AN - SCOPUS:84868259450
SN - 9781467301831
T3 - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
SP - 285
EP - 288
BT - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
T2 - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Y2 - 5 August 2012 through 8 August 2012
ER -