@inproceedings{4b493046eb3a42d3942ae317b51327bb,
title = "A robust threshold optimization approach for energy detection based spectrum sensing with noise uncertainty",
abstract = "With noise power uncertainty in energy detection, fixed threshold is no longer suitable. Reviewing the conventional robust statistic approach (RSA), we show that RSA does not provide optimal threshold for primary user (PU) detection. In this paper, we develop a novel threshold optimization approach based on sensing statistical model. Adopting linear integral approximation (LIA), we present new closed form expressions for the detector's performances. Relying on constant false alarm rate (CFAR) principle and dichotomy iteration, we can obtain the optimized threshold, which is more noise-environment adaptive. Simulation results show that the detection probability can be significant improved using the optimized threshold, and the overall performance satisfies the robustness requirements.",
keywords = "cognitive Radio, energy detection, noise uncertainty, spectrum sensing",
author = "Lihua Ruan and Yong Li and Wei Cheng and Zhibo Wu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 ; Conference date: 15-06-2015 Through 17-06-2015",
year = "2015",
month = nov,
day = "20",
doi = "10.1109/ICIEA.2015.7334103",
language = "英语",
series = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "161--165",
booktitle = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",
}