Yayınlanmış 1 Ocak 2018
| Sürüm v1
Dergi makalesi
Açık
Empirical Bayes Deconvolution Based Modulation Discovery Under Additive Noise
Oluşturanlar
- 1. Hacettepe Univ, Dept Elect & Elect Engn, Beytepe Campus, TR-06800 Ankara, Turkey
Açıklama
The problem of identifying digital amplitude-phase modulations under additive noise is addressed within the theory of empirical Bayes deconvolution. The presented methods employ parametric models in the observation and signal constellation spaces. The model parameters are estimated using the received samples and then substituted into the respective models to obtain the estimate for the signal constellation, from which the decoding of the received samples can he accomplished. The proposed framework can he used to construct a modulation dictionary for an unknown transmitter prior to employing any hypothesis testing-based classification algorithm.
Dosyalar
bib-3a17fd0b-ded3-44d9-b27b-19465f4fb1e7.txt
Dosyalar
(157 Bytes)
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