Channel equalization in the presence of strong interference sources

Joseph Tabrikian; Arye Nehorai

doi:10.1109/SAM.2002.1191050

Channel equalization in the presence of strong interference sources

Joseph Tabrikian, Arye Nehorai

Department of Electrical & Computer Engineering

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

3 Scopus citations

Abstract

Space-time channel estimation is essential for communication systems which separate sources in the space domain in addition to time/frequency/code domains. In this paper, we first develop a Maximum Likelihood (ML) estimator for the spatial channel transfer function in the presence of strong interference sources, for 3 different channel scenarios: no multipath, locally scattered multipath, and general multipath case. As expected, the ML estimator, which assumes planar wavefield for the signal, provides superior performance over the ML solution for the general multipath case. In order to maintain the robustness to the scenario, an algorithm for scenario/model determination is developed, and its performance is evaluated via simulations.

Original language	English
Title of host publication	2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
Publisher	Institute of Electrical and Electronics Engineers
Pages	308-312
Number of pages	5
ISBN (Electronic)	0780375513
DOIs	https://doi.org/10.1109/SAM.2002.1191050
State	Published - 1 Jan 2002
Event	IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States Duration: 4 Aug 2002 → 6 Aug 2002

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume	2002-January
ISSN (Electronic)	2151-870X

Conference

Conference	IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
Country/Territory	United States
City	Rosslyn
Period	4/08/02 → 6/08/02

ASJC Scopus subject areas

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SAM.2002.1191050

Cite this

Tabrikian, J., & Nehorai, A. (2002). Channel equalization in the presence of strong interference sources. In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002 (pp. 308-312). Article 1191050 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2002-January). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SAM.2002.1191050

@inproceedings{0579ac9b33f245c09454ea10a1839132,

title = "Channel equalization in the presence of strong interference sources",

abstract = "Space-time channel estimation is essential for communication systems which separate sources in the space domain in addition to time/frequency/code domains. In this paper, we first develop a Maximum Likelihood (ML) estimator for the spatial channel transfer function in the presence of strong interference sources, for 3 different channel scenarios: no multipath, locally scattered multipath, and general multipath case. As expected, the ML estimator, which assumes planar wavefield for the signal, provides superior performance over the ML solution for the general multipath case. In order to maintain the robustness to the scenario, an algorithm for scenario/model determination is developed, and its performance is evaluated via simulations.",

author = "Joseph Tabrikian and Arye Nehorai",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 ; Conference date: 04-08-2002 Through 06-08-2002",

year = "2002",

month = jan,

day = "1",

doi = "10.1109/SAM.2002.1191050",

language = "English",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "308--312",

booktitle = "2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002",

address = "United States",

}

Tabrikian, J & Nehorai, A 2002, Channel equalization in the presence of strong interference sources. in 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002., 1191050, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2002-January, Institute of Electrical and Electronics Engineers, pp. 308-312, IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002, Rosslyn, United States, 4/08/02. https://doi.org/10.1109/SAM.2002.1191050

Channel equalization in the presence of strong interference sources. / Tabrikian, Joseph; Nehorai, Arye.
2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002. Institute of Electrical and Electronics Engineers, 2002. p. 308-312 1191050 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2002-January).

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

TY - GEN

T1 - Channel equalization in the presence of strong interference sources

AU - Tabrikian, Joseph

AU - Nehorai, Arye

PY - 2002/1/1

Y1 - 2002/1/1

N2 - Space-time channel estimation is essential for communication systems which separate sources in the space domain in addition to time/frequency/code domains. In this paper, we first develop a Maximum Likelihood (ML) estimator for the spatial channel transfer function in the presence of strong interference sources, for 3 different channel scenarios: no multipath, locally scattered multipath, and general multipath case. As expected, the ML estimator, which assumes planar wavefield for the signal, provides superior performance over the ML solution for the general multipath case. In order to maintain the robustness to the scenario, an algorithm for scenario/model determination is developed, and its performance is evaluated via simulations.

AB - Space-time channel estimation is essential for communication systems which separate sources in the space domain in addition to time/frequency/code domains. In this paper, we first develop a Maximum Likelihood (ML) estimator for the spatial channel transfer function in the presence of strong interference sources, for 3 different channel scenarios: no multipath, locally scattered multipath, and general multipath case. As expected, the ML estimator, which assumes planar wavefield for the signal, provides superior performance over the ML solution for the general multipath case. In order to maintain the robustness to the scenario, an algorithm for scenario/model determination is developed, and its performance is evaluated via simulations.

UR - http://www.scopus.com/inward/record.url?scp=84949233131&partnerID=8YFLogxK

U2 - 10.1109/SAM.2002.1191050

DO - 10.1109/SAM.2002.1191050

M3 - Conference contribution

AN - SCOPUS:84949233131

T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

SP - 308

EP - 312

BT - 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002

PB - Institute of Electrical and Electronics Engineers

T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002

Y2 - 4 August 2002 through 6 August 2002

ER -

Tabrikian J, Nehorai A. Channel equalization in the presence of strong interference sources. In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002. Institute of Electrical and Electronics Engineers. 2002. p. 308-312. 1191050. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). doi: 10.1109/SAM.2002.1191050

Channel equalization in the presence of strong interference sources

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this