Performance analysis of semiblind channel estimation in long-code DS-CDMA systems

Husheng Li; H. Vincent Poor

doi:10.1109/TSP.2006.879287

Performance analysis of semiblind channel estimation in long-code DS-CDMA systems

Husheng Li
, H. Vincent Poor

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

3 Scopus citations

Abstract

The performance of second-order statistics (SOS)-based semiblind channel estimation in long-code direct-sequence code-division multiple-access systems is analyzed. The covariance matrix of second-order statistics estimates is obtained in the large system limit and is used to analyze the large-sample performance of two SOS-based semiblind channel estimation algorithms. A notion of blind estimation efficiency is also defined and is examined via simulation results.

Original language	English (US)
Pages (from-to)	3383-3399
Number of pages	17
Journal	IEEE Transactions on Signal Processing
Volume	54
Issue number	9
DOIs	https://doi.org/10.1109/TSP.2006.879287
State	Published - Sep 2006

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

Keywords

Code-division multiple access (CDMA)
Semiblind channel estimation

Access to Document

10.1109/TSP.2006.879287

Cite this

@article{8720ea122527449d8e6c950136f1d984,

title = "Performance analysis of semiblind channel estimation in long-code DS-CDMA systems",

abstract = "The performance of second-order statistics (SOS)-based semiblind channel estimation in long-code direct-sequence code-division multiple-access systems is analyzed. The covariance matrix of second-order statistics estimates is obtained in the large system limit and is used to analyze the large-sample performance of two SOS-based semiblind channel estimation algorithms. A notion of blind estimation efficiency is also defined and is examined via simulation results.",

keywords = "Code-division multiple access (CDMA), Semiblind channel estimation",

author = "Husheng Li and Poor, \{H. Vincent\}",

note = "Funding Information: Manuscript received January 5, 2005; revised November 27, 2005. This work was supported by the Office of Naval Research under Grant N00014-03-1-0102. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. John J. Shynk. H. Li is with Qualcomm, Inc., San Diego, CA 92121 USA (e-mail: [email protected]). H. Vincent Poor is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TSP.2006.879287",

year = "2006",

month = sep,

doi = "10.1109/TSP.2006.879287",

language = "English (US)",

volume = "54",

pages = "3383--3399",

journal = "IEEE Transactions on Signal Processing",

issn = "1053-587X",

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

number = "9",

}

TY - JOUR

T1 - Performance analysis of semiblind channel estimation in long-code DS-CDMA systems

AU - Li, Husheng

AU - Poor, H. Vincent

N1 - Funding Information: Manuscript received January 5, 2005; revised November 27, 2005. This work was supported by the Office of Naval Research under Grant N00014-03-1-0102. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. John J. Shynk. H. Li is with Qualcomm, Inc., San Diego, CA 92121 USA (e-mail: [email protected]). H. Vincent Poor is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TSP.2006.879287

PY - 2006/9

Y1 - 2006/9

N2 - The performance of second-order statistics (SOS)-based semiblind channel estimation in long-code direct-sequence code-division multiple-access systems is analyzed. The covariance matrix of second-order statistics estimates is obtained in the large system limit and is used to analyze the large-sample performance of two SOS-based semiblind channel estimation algorithms. A notion of blind estimation efficiency is also defined and is examined via simulation results.

AB - The performance of second-order statistics (SOS)-based semiblind channel estimation in long-code direct-sequence code-division multiple-access systems is analyzed. The covariance matrix of second-order statistics estimates is obtained in the large system limit and is used to analyze the large-sample performance of two SOS-based semiblind channel estimation algorithms. A notion of blind estimation efficiency is also defined and is examined via simulation results.

KW - Code-division multiple access (CDMA)

KW - Semiblind channel estimation

UR - https://www.scopus.com/pages/publications/33947119094

UR - https://www.scopus.com/pages/publications/33947119094#tab=citedBy

U2 - 10.1109/TSP.2006.879287

DO - 10.1109/TSP.2006.879287

M3 - Article

AN - SCOPUS:33947119094

SN - 1053-587X

VL - 54

SP - 3383

EP - 3399

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 9

ER -

Performance analysis of semiblind channel estimation in long-code DS-CDMA systems

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this