Joint channel estimation and symbol detection in Rayleigh flat-fading channels with impulsive noise

Xiaodong Wang; H. Vincent Poor

doi:10.1109/4234.552144

Joint channel estimation and symbol detection in Rayleigh flat-fading channels with impulsive noise

Xiaodong Wang, H. Vincent Poor

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

25 Scopus citations

Abstract

A new technique for joint channel estimation and symbol detection in the Rayleigh flat-fading channels with impulsive noise is developed. This technique involves an approximation to the likelihood statistics for such channels, which in turn is based on the Masreliez approximation of nonlinear filtering. It is seen that the proposed detector outperforms the detector based on the Kalman filter.

Original language	English (US)
Pages (from-to)	19-21
Number of pages	3
Journal	IEEE Communications Letters
Volume	1
Issue number	1
DOIs	https://doi.org/10.1109/4234.552144
State	Published - 1997

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Channel estimation
Impulsive noise
Masreliez nonlinear filtering
Rayleigh flat-fading

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10.1109/4234.552144

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title = "Joint channel estimation and symbol detection in Rayleigh flat-fading channels with impulsive noise",

abstract = "A new technique for joint channel estimation and symbol detection in the Rayleigh flat-fading channels with impulsive noise is developed. This technique involves an approximation to the likelihood statistics for such channels, which in turn is based on the Masreliez approximation of nonlinear filtering. It is seen that the proposed detector outperforms the detector based on the Kalman filter.",

keywords = "Channel estimation, Impulsive noise, Masreliez nonlinear filtering, Rayleigh flat-fading",

author = "Xiaodong Wang and Poor, {H. Vincent}",

note = "Funding Information: Manuscript received October 10, 1996. This work was supported by the U. S. Army Research Office under Grant DAAH04-93-G-0219. The associate editor coordinating the reveiew of this letter and approving it for publication was Dr. Y. Bar-Ness. The authors are with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA. Publisher Item Identifier S 1089-7798(97)01343-4.",

year = "1997",

doi = "10.1109/4234.552144",

language = "English (US)",

volume = "1",

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journal = "IEEE Communications Letters",

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T1 - Joint channel estimation and symbol detection in Rayleigh flat-fading channels with impulsive noise

AU - Wang, Xiaodong

AU - Poor, H. Vincent

N1 - Funding Information: Manuscript received October 10, 1996. This work was supported by the U. S. Army Research Office under Grant DAAH04-93-G-0219. The associate editor coordinating the reveiew of this letter and approving it for publication was Dr. Y. Bar-Ness. The authors are with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA. Publisher Item Identifier S 1089-7798(97)01343-4.

PY - 1997

Y1 - 1997

N2 - A new technique for joint channel estimation and symbol detection in the Rayleigh flat-fading channels with impulsive noise is developed. This technique involves an approximation to the likelihood statistics for such channels, which in turn is based on the Masreliez approximation of nonlinear filtering. It is seen that the proposed detector outperforms the detector based on the Kalman filter.

AB - A new technique for joint channel estimation and symbol detection in the Rayleigh flat-fading channels with impulsive noise is developed. This technique involves an approximation to the likelihood statistics for such channels, which in turn is based on the Masreliez approximation of nonlinear filtering. It is seen that the proposed detector outperforms the detector based on the Kalman filter.

KW - Channel estimation

KW - Impulsive noise

KW - Masreliez nonlinear filtering

KW - Rayleigh flat-fading

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Joint channel estimation and symbol detection in Rayleigh flat-fading channels with impulsive noise

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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