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[TMD16] Blind Propagation Channel Estimation with Enhanced Auto-Deconvolution
Conférence Internationale avec comité de lecture : softcomm 2016, September 2016, pp.1-6, Split, Croatia,Mots clés: Blind estimation; High order moments; Channel estimation; Noise withening
Résumé:
This paper deals with blind propagation channel
estimation that should be a key feature for future agile
waveforms. The proposed approach is based on high order
statistics, inverse Fourier Transform and auto- deconvolution.
The paper can be seen as a follow up to a previous work devoted
to this subject [10]. It introduces an important improvement in
the auto-deconvolution step based on a whitening algorithm able
to equalize additive noise corrupting high order statistical
moments estimation. Simulations results highlight the
significance of this new stage, showing its impact, not only on the
mean square error, but also on the bit error rate for 4 to 64-
QAM modulations.
BibTeX
| @inproceedings { | |||
| TMD16, | |||
| title | = | "{Blind Propagation Channel Estimation with Enhanced Auto-Deconvolution}", | |
| author | = | " M. Terre and R. Maoudj and A. Dziri ", | |
| booktitle | = | "{softcomm 2016}", | |
| year | = | 2016, | |
| month | = | "September", | |
| pages | = | "1-6", | |
| address | = | "Split, Croatia", | |
| } | |||
