Journals: NDA Waveform Estimation in the Low-SNR Regime
J. Lopez-Salcedo and G. Vázquez Grau


This paper addresses the problem of nondata-aided (NDA) waveform estimation for digital communications. Based on the unconditional maximum likelihood (UML) criterion, the main contribution of this paper is the derivation of a closed-form solution to the waveform estimation problem in the low-SNR 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.

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Signal Processing and Communications group
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