SNR estimation for non-constant modulus constellations

Ping Gao; Cihan Tepedelenlioglu

SNR estimation for non-constant modulus constellations

Ping Gao, Cihan Tepedelenlioglu

Electrical Engineering

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

9 Scopus citations

Abstract

We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant modulus constellations which is a feature not found in existing approaches. We also analyze the performance of our estimators for both PSK and non-PSK constellations by deriving their asymptotic variances and comparing with the Cramer-Rao Bounds (CRBs). Moreover, we discuss how the SNR estimates can be used to approximate the bit error rate (BER) and how the accuracy of the SNR estimate is related to that of the BER estimate, which justifies the necessity for the accurate estimation of SNR. The analytical performance is shown for both PSK and non-PSK constellations, such as 8QAM, and 16QAM. Monte Carlo simulation results corroborate our analysis.

Original language	English (US)
Title of host publication	2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
Pages	24-29
Number of pages	6
State	Published - Sep 24 2004
Event	2004 IEEE Wireless Communications and Networking Conference, WCNC 2004 - Atlanta, GA, United States Duration: Mar 21 2004 → Mar 25 2004

Publication series

Name	2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
Volume	1

Other

Other	2004 IEEE Wireless Communications and Networking Conference, WCNC 2004
Country/Territory	United States
City	Atlanta, GA
Period	3/21/04 → 3/25/04

Keywords

Non-constant modulus constellations
Non-data-aided estimators
SNR estimation

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "SNR estimation for non-constant modulus constellations",

abstract = "We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant modulus constellations which is a feature not found in existing approaches. We also analyze the performance of our estimators for both PSK and non-PSK constellations by deriving their asymptotic variances and comparing with the Cramer-Rao Bounds (CRBs). Moreover, we discuss how the SNR estimates can be used to approximate the bit error rate (BER) and how the accuracy of the SNR estimate is related to that of the BER estimate, which justifies the necessity for the accurate estimation of SNR. The analytical performance is shown for both PSK and non-PSK constellations, such as 8QAM, and 16QAM. Monte Carlo simulation results corroborate our analysis.",

keywords = "Non-constant modulus constellations, Non-data-aided estimators, SNR estimation",

author = "Ping Gao and Cihan Tepedelenlioglu",

year = "2004",

month = sep,

day = "24",

language = "English (US)",

isbn = "0780383443",

series = "2004 IEEE Wireless Communications and Networking Conference, WCNC 2004",

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note = "2004 IEEE Wireless Communications and Networking Conference, WCNC 2004 ; Conference date: 21-03-2004 Through 25-03-2004",

}

TY - GEN

T1 - SNR estimation for non-constant modulus constellations

AU - Gao, Ping

AU - Tepedelenlioglu, Cihan

PY - 2004/9/24

Y1 - 2004/9/24

N2 - We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant modulus constellations which is a feature not found in existing approaches. We also analyze the performance of our estimators for both PSK and non-PSK constellations by deriving their asymptotic variances and comparing with the Cramer-Rao Bounds (CRBs). Moreover, we discuss how the SNR estimates can be used to approximate the bit error rate (BER) and how the accuracy of the SNR estimate is related to that of the BER estimate, which justifies the necessity for the accurate estimation of SNR. The analytical performance is shown for both PSK and non-PSK constellations, such as 8QAM, and 16QAM. Monte Carlo simulation results corroborate our analysis.

AB - We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant modulus constellations which is a feature not found in existing approaches. We also analyze the performance of our estimators for both PSK and non-PSK constellations by deriving their asymptotic variances and comparing with the Cramer-Rao Bounds (CRBs). Moreover, we discuss how the SNR estimates can be used to approximate the bit error rate (BER) and how the accuracy of the SNR estimate is related to that of the BER estimate, which justifies the necessity for the accurate estimation of SNR. The analytical performance is shown for both PSK and non-PSK constellations, such as 8QAM, and 16QAM. Monte Carlo simulation results corroborate our analysis.

KW - Non-constant modulus constellations

KW - Non-data-aided estimators

KW - SNR estimation

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M3 - Conference contribution

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T3 - 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004

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BT - 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004

T2 - 2004 IEEE Wireless Communications and Networking Conference, WCNC 2004

Y2 - 21 March 2004 through 25 March 2004

ER -

SNR estimation for non-constant modulus constellations

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

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