Loss characterization of distributed space-time transmit beamforming with embedded channel probing

Adam R. Margetts; Eric G. Torkildson; Daniel W. Bliss

doi:10.1109/SSP.2012.6319683

Loss characterization of distributed space-time transmit beamforming with embedded channel probing

Adam R. Margetts, Eric G. Torkildson, Daniel W. Bliss

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Pages	285-288
Number of pages	4
DOIs	https://doi.org/10.1109/SSP.2012.6319683
State	Published - Nov 6 2012
Externally published	Yes
Event	2012 IEEE Statistical Signal Processing Workshop, SSP 2012 - Ann Arbor, MI, United States Duration: Aug 5 2012 → Aug 8 2012

Publication series

Name	2012 IEEE Statistical Signal Processing Workshop, SSP 2012

Other

Other	2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Country	United States
City	Ann Arbor, MI
Period	8/5/12 → 8/8/12

ASJC Scopus subject areas

Signal Processing

Access to Document

10.1109/SSP.2012.6319683

Fingerprint Dive into the research topics of 'Loss characterization of distributed space-time transmit beamforming with embedded channel probing'. Together they form a unique fingerprint.

Cite this

Margetts, A. R., Torkildson, E. G., & Bliss, D. W. (2012). Loss characterization of distributed space-time transmit beamforming with embedded channel probing. In 2012 IEEE Statistical Signal Processing Workshop, SSP 2012 (pp. 285-288). [6319683] (2012 IEEE Statistical Signal Processing Workshop, SSP 2012). https://doi.org/10.1109/SSP.2012.6319683

Loss characterization of distributed space-time transmit beamforming with embedded channel probing. / Margetts, Adam R.; Torkildson, Eric G.; Bliss, Daniel W.

2012 IEEE Statistical Signal Processing Workshop, SSP 2012. 2012. p. 285-288 6319683 (2012 IEEE Statistical Signal Processing Workshop, SSP 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Margetts, AR, Torkildson, EG & Bliss, DW 2012, Loss characterization of distributed space-time transmit beamforming with embedded channel probing. in 2012 IEEE Statistical Signal Processing Workshop, SSP 2012., 6319683, 2012 IEEE Statistical Signal Processing Workshop, SSP 2012, pp. 285-288, 2012 IEEE Statistical Signal Processing Workshop, SSP 2012, Ann Arbor, MI, United States, 8/5/12. https://doi.org/10.1109/SSP.2012.6319683

@inproceedings{f2c89f29befe431fa5d803ecc57f9438,

title = "Loss characterization of distributed space-time transmit beamforming with embedded channel probing",

abstract = "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.",

author = "Margetts, {Adam R.} and Torkildson, {Eric G.} and Bliss, {Daniel W.}",

year = "2012",

month = nov,

day = "6",

doi = "10.1109/SSP.2012.6319683",

language = "English (US)",

isbn = "9781467301831",

series = "2012 IEEE Statistical Signal Processing Workshop, SSP 2012",

pages = "285--288",

booktitle = "2012 IEEE Statistical Signal Processing Workshop, SSP 2012",

note = "2012 IEEE Statistical Signal Processing Workshop, SSP 2012 ; Conference date: 05-08-2012 Through 08-08-2012",

}

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 -