Iterative envelope-based SNR estimation for nonconstant modulus constellations

Author

López-Valcarce, Roberto ; Mosquera, Carlos ; Gappmair, Wilfried

Author_Institution

Univ. of Vigo, Vigo

fYear

2007

fDate

17-20 June 2007

Firstpage

1

Lastpage

5

Abstract

The signal-to-noise ratio (SNR) estimation problem is addressed for linearly modulated signals over flat-fading channels. A new SNR estimator based on the expectation-maximization algorithm is proposed in order to iteratively maximize a certain approximation to the envelope-based likelihood function. The new method is robust to carrier offsets and can be applied to nonconstant modulus constellations. It operates in a non-data-aided manner, although it can be suitably modified to exploit the availability of pilot symbols within the frame.

Keywords

approximation theory; expectation-maximisation algorithm; fading channels; modulation; parameter estimation; SNR estimation; approximation theory; expectation-maximization algorithm; flat-fading channels; iterative envelope based likelihood function; linearly modulated signals; nonconstant modulus constellations; signal-to-noise ratio; Constellation diagram; Degradation; Expectation-maximization algorithms; Frequency; Gaussian noise; Noise robustness; Parameter estimation; Phase shift keying; Power system modeling; Signal to noise ratio; EM algorithm; SNR estimation; noise measurement; parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on

Conference_Location

Helsinki

Print_ISBN

978-1-4244-0955-6

Electronic_ISBN

978-1-4244-0955-6

Type

conf

DOI

10.1109/SPAWC.2007.4401305

Filename

4401305