Comparison of Detection of Bayesian, Match Filter, Wiener Filter and Energy Models of CRN. Khan, R., Shakila Zaman, Md Imdadul Islam, & MR Amin IEEE R10 Humanitarian Technology Conference, December, 2017.
abstract   bibtex   
Recent literature deals with several detection models to measure the performance of cognitive radio network (CRN). In this paper we bring fours detection techniques: Energy detection (ED), Match filter detection (MFD), Bayesian detection (BD) and Wiener filter detection (WFD) in a single graph to observe relative performance. Here we consider only probability false alarm and that of detection under both Rayleigh fading channel and additive white Gaussian noise (AWGN) environment. For probability false alarm, the match filter shows the best performance and Bayesian detection is the best for the case of probability of detection but the phenomenon does not mean that above two detections are the best. In CRN better sensitivity of detection deteriorates the false alarm and vice versa. Combing the two parameters of the paper match filter detection is the best then comes wiener filter detection. Finally, the analytical results are verified by simulation.
@article{khan_comparison_2017,
	title = {Comparison of {Detection} of {Bayesian}, {Match} {Filter}, {Wiener} {Filter} and {Energy} {Models} of {CRN}},
	abstract = {Recent literature deals with several detection models to measure the performance of cognitive radio network (CRN). In this paper we bring fours detection techniques: Energy detection (ED), Match filter detection (MFD), Bayesian detection (BD) and Wiener filter detection (WFD) in a single graph to observe relative performance. Here we consider only probability false alarm and that of detection under both Rayleigh fading channel and additive white Gaussian noise (AWGN) environment. For probability false alarm, the match filter shows the best performance and Bayesian detection is the best for the case of probability of detection but the phenomenon does not mean that above two detections are the best. In CRN better sensitivity of detection deteriorates the false alarm and vice versa. Combing the two parameters of the paper match filter detection is the best then comes wiener filter detection. Finally, the analytical results are verified by simulation.},
	journal = {IEEE R10 Humanitarian Technology Conference},
	author = {Khan, Risala and {Shakila Zaman} and {Md Imdadul Islam} and {MR Amin}},
	month = dec,
	year = {2017},
}

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