Channel estimation for block transmission systems with narrowband interference suppression

Khaled Amleh; Hongbin Li

doi:10.1109/ISSPA.2007.4555616

Channel estimation for block transmission systems with narrowband interference suppression

Khaled Amleh, Hongbin Li

Penn State Mont Alto

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

Abstract

We present here a unified approach to blind channel estimation and interference suppression for block transmission using zero padding (ZP) or cyclic prefix (CP) in both single-carrier (SC) and multicarrier (MC) systems. Our approach uses a generalized multichannel minimum variance principle to design an equalizing filterbank. Channel estimate is then obtained from an asymptotically tight lower bound of the filterbank output power. Numerical examples show that the proposed schemes approach the CRB as the signal-to-noise ratio (SNR) increases. Additionally, they exhibit low sensitivity to unknown narrowband interference and compare favorably with subspace blind channel estimators.

Original language	English (US)
Title of host publication	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
DOIs	https://doi.org/10.1109/ISSPA.2007.4555616
State	Published - Dec 1 2007
Event	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates Duration: Feb 12 2007 → Feb 15 2007

Other

Other	2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
Country/Territory	United Arab Emirates
City	Sharjah
Period	2/12/07 → 2/15/07

All Science Journal Classification (ASJC) codes

Signal Processing

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10.1109/ISSPA.2007.4555616

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title = "Channel estimation for block transmission systems with narrowband interference suppression",

abstract = "We present here a unified approach to blind channel estimation and interference suppression for block transmission using zero padding (ZP) or cyclic prefix (CP) in both single-carrier (SC) and multicarrier (MC) systems. Our approach uses a generalized multichannel minimum variance principle to design an equalizing filterbank. Channel estimate is then obtained from an asymptotically tight lower bound of the filterbank output power. Numerical examples show that the proposed schemes approach the CRB as the signal-to-noise ratio (SNR) increases. Additionally, they exhibit low sensitivity to unknown narrowband interference and compare favorably with subspace blind channel estimators.",

author = "Khaled Amleh and Hongbin Li",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/ISSPA.2007.4555616",

language = "English (US)",

isbn = "1424407796",

booktitle = "2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings",

note = "2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 ; Conference date: 12-02-2007 Through 15-02-2007",

}

Amleh, K & Li, H 2007, Channel estimation for block transmission systems with narrowband interference suppression. in 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings., 4555616, 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Sharjah, United Arab Emirates, 2/12/07. https://doi.org/10.1109/ISSPA.2007.4555616

TY - GEN

T1 - Channel estimation for block transmission systems with narrowband interference suppression

AU - Amleh, Khaled

AU - Li, Hongbin

PY - 2007/12/1

Y1 - 2007/12/1

N2 - We present here a unified approach to blind channel estimation and interference suppression for block transmission using zero padding (ZP) or cyclic prefix (CP) in both single-carrier (SC) and multicarrier (MC) systems. Our approach uses a generalized multichannel minimum variance principle to design an equalizing filterbank. Channel estimate is then obtained from an asymptotically tight lower bound of the filterbank output power. Numerical examples show that the proposed schemes approach the CRB as the signal-to-noise ratio (SNR) increases. Additionally, they exhibit low sensitivity to unknown narrowband interference and compare favorably with subspace blind channel estimators.

AB - We present here a unified approach to blind channel estimation and interference suppression for block transmission using zero padding (ZP) or cyclic prefix (CP) in both single-carrier (SC) and multicarrier (MC) systems. Our approach uses a generalized multichannel minimum variance principle to design an equalizing filterbank. Channel estimate is then obtained from an asymptotically tight lower bound of the filterbank output power. Numerical examples show that the proposed schemes approach the CRB as the signal-to-noise ratio (SNR) increases. Additionally, they exhibit low sensitivity to unknown narrowband interference and compare favorably with subspace blind channel estimators.

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U2 - 10.1109/ISSPA.2007.4555616

DO - 10.1109/ISSPA.2007.4555616

M3 - Conference contribution

AN - SCOPUS:51549113672

SN - 1424407796

SN - 9781424407798

BT - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings

T2 - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007

Y2 - 12 February 2007 through 15 February 2007

ER -

Channel estimation for block transmission systems with narrowband interference suppression

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