Tracking a MIMO channel singular value decomposition via projection approximation

Sharon Gannon; Amir Lesnem; Ofer Shayevitz; Ephi Zehavi

doi:10.1109/eeei.2006.321109

Tracking a MIMO channel singular value decomposition via projection approximation

Sharon Gannon, Amir Lesnem, Ofer Shayevitz, Ephi Zehavi

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

2 Scopus citations

Abstract

A bidirectional multiple-input multiple-output (MIMO) time varying channel is considered. The projection approximation subspace tracking (PAST) algorithm is used on both terminals in order to track the singular value decomposition of the channel matrix. Simulations using an autoregressive channel model and also a sampled MIMO indoor channel are performed, and the expected capacity degradation due to the estimation error is evaluated.

Original language	English
Title of host publication	2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Pages	91-94
Number of pages	4
DOIs	https://doi.org/10.1109/eeei.2006.321109
State	Published - 2006
Event	2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI - Eilat, Israel Duration: 15 Nov 2006 → 17 Nov 2006

Publication series

Name	IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Conference

Conference	2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Country/Territory	Israel
City	Eilat
Period	15/11/06 → 17/11/06

Access to Document

10.1109/eeei.2006.321109

Cite this

Gannon, S., Lesnem, A., Shayevitz, O., & Zehavi, E. (2006). Tracking a MIMO channel singular value decomposition via projection approximation. In 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI (pp. 91-94). Article 4115253 (IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings). https://doi.org/10.1109/eeei.2006.321109

@inproceedings{76571a413d7e40c6a66a5c51bb518406,

title = "Tracking a MIMO channel singular value decomposition via projection approximation",

abstract = "A bidirectional multiple-input multiple-output (MIMO) time varying channel is considered. The projection approximation subspace tracking (PAST) algorithm is used on both terminals in order to track the singular value decomposition of the channel matrix. Simulations using an autoregressive channel model and also a sampled MIMO indoor channel are performed, and the expected capacity degradation due to the estimation error is evaluated.",

author = "Sharon Gannon and Amir Lesnem and Ofer Shayevitz and Ephi Zehavi",

year = "2006",

doi = "10.1109/eeei.2006.321109",

language = "אנגלית",

isbn = "1424402301",

series = "IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings",

pages = "91--94",

booktitle = "2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI",

note = "2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI ; Conference date: 15-11-2006 Through 17-11-2006",

}

Gannon, S, Lesnem, A, Shayevitz, O & Zehavi, E 2006, Tracking a MIMO channel singular value decomposition via projection approximation. in 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI., 4115253, IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings, pp. 91-94, 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI, Eilat, Israel, 15/11/06. https://doi.org/10.1109/eeei.2006.321109

Tracking a MIMO channel singular value decomposition via projection approximation. / Gannon, Sharon; Lesnem, Amir; Shayevitz, Ofer et al.
2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI. 2006. p. 91-94 4115253 (IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings).

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

TY - GEN

T1 - Tracking a MIMO channel singular value decomposition via projection approximation

AU - Gannon, Sharon

AU - Lesnem, Amir

AU - Shayevitz, Ofer

AU - Zehavi, Ephi

PY - 2006

Y1 - 2006

N2 - A bidirectional multiple-input multiple-output (MIMO) time varying channel is considered. The projection approximation subspace tracking (PAST) algorithm is used on both terminals in order to track the singular value decomposition of the channel matrix. Simulations using an autoregressive channel model and also a sampled MIMO indoor channel are performed, and the expected capacity degradation due to the estimation error is evaluated.

AB - A bidirectional multiple-input multiple-output (MIMO) time varying channel is considered. The projection approximation subspace tracking (PAST) algorithm is used on both terminals in order to track the singular value decomposition of the channel matrix. Simulations using an autoregressive channel model and also a sampled MIMO indoor channel are performed, and the expected capacity degradation due to the estimation error is evaluated.

UR - http://www.scopus.com/inward/record.url?scp=50249143619&partnerID=8YFLogxK

U2 - 10.1109/eeei.2006.321109

DO - 10.1109/eeei.2006.321109

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:50249143619

SN - 1424402301

SN - 9781424402304

T3 - IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

SP - 91

EP - 94

BT - 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI

T2 - 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI

Y2 - 15 November 2006 through 17 November 2006

ER -

Tracking a MIMO channel singular value decomposition via projection approximation

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this