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.
CitationLópez Salgado, J. A.; Vázquez Grau, G. NDA waveform estimation in the low-SNR regime. IEEE Transactions on Signal Processing. 2007, vol. 55, núm. 12, p. 5864-5868.
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