DocumentCode
1708980
Title
A novel phase based SNR estimation method for constant modulus constellations
Author
Trachanas, Ilias ; Fliege, Norbert J.
Author_Institution
Dept. of Electr. Eng., Univ. of Mannheim, Mannheim
fYear
2008
Firstpage
1179
Lastpage
1183
Abstract
A novel signal-to-noise ratio (SNR) estimation algorithm for digital communication systems is presented. Lack of knowledge of both the current channel´s transfer function and the current noise power is a typical property of systems, which transmit over multipath time varying channels. In order to overcome this impediment we designed a SNR estimation method that only makes use of the phases of the received signal and the ones of the transmitted signal or an estimate of them without regarding the channel´s transfer function. It is shown that the SNR calculation formula provides an excellent estimate for SNR values higher than 10dB and constellation schemes with constant modulus. Moreover, the method´s enhanced performance in comparison to the well-known M2M4 moment based estimator when a relatively small number of symbols is used for the SNR estimation is shown through simulation results. It is finally explained how the new phase based estimator can be beneficially used in orthogonal frequency division multiplexing (OFDM) systems with faulty frame synchronization or/and a frequency offset.
Keywords
OFDM modulation; digital communication; estimation theory; telecommunication channels; telecommunication signalling; channel transfer function; constant modulus constellation; current noise power; digital communication system; orthogonal frequency division multiplexing; phase based SNR estimation; signal-to-noise ratio estimation; Digital communication; Frequency estimation; Frequency synchronization; Impedance; OFDM; Phase estimation; Signal design; Signal to noise ratio; Time varying systems; Transfer functions; Frame Synchronization; Frequency Offset; OFDM; Phase Based; SNR estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location
St Julians
Print_ISBN
978-1-4244-1687-5
Electronic_ISBN
978-1-4244-1688-2
Type
conf
DOI
10.1109/ISCCSP.2008.4537404
Filename
4537404
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