DocumentCode :
951479
Title :
NDA Waveform Estimation in the Low-SNR Regime
Author :
López-Salcedo, José A. ; Vázquez, Gregori
Author_Institution :
Tech. Univ. of Catalonia, Barcelona
Volume :
55
Issue :
12
fYear :
2007
Firstpage :
5864
Lastpage :
5868
Abstract :
This correspondence addresses the problem of nondata-aided waveform estimation for digital communications. Based on the unconditional maximum likelihood criterion, the main contribution of this correspondence is the derivation of a closed-form solution to the waveform estimation problem in the low signal-to-noise ratio regime. The proposed estimation method is based on the second-order statistics of the received signal and a clear link is established between maximum likelihood estimation and correlation matching techniques. Compression with the signal-subspace is also proposed to improve the robustness against the noise and to mitigate the impact of abnormals or outliers.
Keywords :
correlation methods; data compression; digital communication; maximum likelihood estimation; correlation matching techniques; digital communications; nondata-aided waveform estimation; second-order statistics; signal-subspace compression; signal-to-noise ratio regime; unconditional maximum likelihood criterion; Channel estimation; low signal-to-noise ratio (SNR); nondata-aided; waveform estimation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2007.901173
Filename :
4359535
Link To Document :
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