Title :
Iterative envelope-based SNR estimation for nonconstant modulus constellations
Author :
López-Valcarce, Roberto ; Mosquera, Carlos ; Gappmair, Wilfried
Author_Institution :
Univ. of Vigo, Vigo
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;
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
DOI :
10.1109/SPAWC.2007.4401305
