Title
Correlation-based detection of TCM signals for cognitive radios
Document Type
Conference Proceeding
Publication Date
6-16-2017
Abstract
In this work, the inter-dependency of TCM signals is studied. Using this inter-dependency, correlation-based detectors are proposed for spectrum sensing of TCM signals in white Gaussian noise. In particular, a constant false alarm rate (CFAR) detector is presented and its performance is evaluated using simulations. We also describe an application of our detector for the classification of uncoded modulation systems vs. their TCM counterparts and present numerical results on their performance.
Publication Source (Journal or Book title)
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
First Page
3584
Last Page
3588
Recommended Citation
Soosahabi, R., Naraghi-Pour, M., Nasirian, N., & Bayoumi, M. (2017). Correlation-based detection of TCM signals for cognitive radios. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3584-3588. https://doi.org/10.1109/ICASSP.2017.7952824