Blind Adaptive Multiuser Detection

Michael Honig; Upamanyu Madhow; Sergio Verdú

doi:10.1109/18.391241

Blind Adaptive Multiuser Detection

Michael Honig, Upamanyu Madhow, Sergio Verdú

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

1175 Scopus citations

Abstract

The decorrelating detector and the linear minimum mean-square error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in code-division multiple-access channels; in particular, those multiuser detectors provide optimum near-far resistance. When training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user's signature waveform and its timing. The proposed blind multiuser detector is made robust with respect to imprecise knowledge of the received signature waveform of the user of interest.

Original language	English (US)
Pages (from-to)	944-960
Number of pages	17
Journal	IEEE Transactions on Information Theory
Volume	41
Issue number	4
DOIs	https://doi.org/10.1109/18.391241
State	Published - Jul 1995

Funding

Manuscript received July 14, 1994; revised February 4, 1995. This work was supported by Bellcore and by the U.S. Army Research Office under Grant DAAHW-93-G-0219. The material in this paper was presented in part at the 1994 Globecom Conference, San Francisco, CA, November 30-December 2, 1994. M. L. Honig is with the Department of Electrical Engineering and Computer Science, Northwestem University, Evanston, IL 60208 USA. U. Madhow is with the Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA. S. Verdd is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA. IEEE Log Number 9412246.

Keywords

Multiuser detection
blind equalization
code-division multiple access
minimum mean-square error detection
multiple-access channels

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Library and Information Sciences

Access to Document

10.1109/18.391241

Cite this

@article{2f811a5bbe234c968b6c941b1ed121e1,

title = "Blind Adaptive Multiuser Detection",

abstract = "The decorrelating detector and the linear minimum mean-square error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in code-division multiple-access channels; in particular, those multiuser detectors provide optimum near-far resistance. When training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user's signature waveform and its timing. The proposed blind multiuser detector is made robust with respect to imprecise knowledge of the received signature waveform of the user of interest.",

keywords = "Multiuser detection, blind equalization, code-division multiple access, minimum mean-square error detection, multiple-access channels",

author = "Michael Honig and Upamanyu Madhow and Sergio Verd{\'u}",

note = "Funding Information: Manuscript received July 14, 1994; revised February 4, 1995. This work was supported by Bellcore and by the U.S. Army Research Office under Grant DAAHW-93-G-0219. The material in this paper was presented in part at the 1994 Globecom Conference, San Francisco, CA, November 30-December 2, 1994. M. L. Honig is with the Department of Electrical Engineering and Computer Science, Northwestem University, Evanston, IL 60208 USA. U. Madhow is with the Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA. S. Verdd is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA. IEEE Log Number 9412246.",

year = "1995",

month = jul,

doi = "10.1109/18.391241",

language = "English (US)",

volume = "41",

pages = "944--960",

journal = "IEEE Transactions on Information Theory",

issn = "0018-9448",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Blind Adaptive Multiuser Detection

AU - Honig, Michael

AU - Madhow, Upamanyu

AU - Verdú, Sergio

N1 - Funding Information: Manuscript received July 14, 1994; revised February 4, 1995. This work was supported by Bellcore and by the U.S. Army Research Office under Grant DAAHW-93-G-0219. The material in this paper was presented in part at the 1994 Globecom Conference, San Francisco, CA, November 30-December 2, 1994. M. L. Honig is with the Department of Electrical Engineering and Computer Science, Northwestem University, Evanston, IL 60208 USA. U. Madhow is with the Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA. S. Verdd is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA. IEEE Log Number 9412246.

PY - 1995/7

Y1 - 1995/7

N2 - The decorrelating detector and the linear minimum mean-square error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in code-division multiple-access channels; in particular, those multiuser detectors provide optimum near-far resistance. When training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user's signature waveform and its timing. The proposed blind multiuser detector is made robust with respect to imprecise knowledge of the received signature waveform of the user of interest.

AB - The decorrelating detector and the linear minimum mean-square error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in code-division multiple-access channels; in particular, those multiuser detectors provide optimum near-far resistance. When training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user's signature waveform and its timing. The proposed blind multiuser detector is made robust with respect to imprecise knowledge of the received signature waveform of the user of interest.

KW - Multiuser detection

KW - blind equalization

KW - code-division multiple access

KW - minimum mean-square error detection

KW - multiple-access channels

UR - http://www.scopus.com/inward/record.url?scp=0029341287&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029341287&partnerID=8YFLogxK

U2 - 10.1109/18.391241

DO - 10.1109/18.391241

M3 - Article

AN - SCOPUS:0029341287

SN - 0018-9448

VL - 41

SP - 944

EP - 960

JO - IEEE Transactions on Information Theory

JF - IEEE Transactions on Information Theory

IS - 4

ER -

Blind Adaptive Multiuser Detection

Abstract

Funding

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this