@inproceedings{74863adf647f480a994983c4834c5e19,
title = "Spectrum sensing based on the singular value of Gaussian random matrix and performance analysis",
abstract = "In this paper, a novel spectrum sensing algorithm called Gaussian singular value (GSV) algorithm is proposed. The method uses the ratio of the largest and the smallest singular values of the received signal matrix to detect the presence or absence of the primary signal. More importantly, GSV algorithm is improved to satisfy the requirements of MIMO situation. In addition, a measure called the credibility of detection (COD) is put forward to evaluate an algorithm's performance comprehensively, and both the probability of detection and false alarm are considered. Simulation results show that the GSV algorithm overcomes the noise uncertainty difficulty while keeping the advantages of the energy detection. The computational results of COD verify its credibility and effectiveness.",
keywords = "Credibility of detection, Gaussian random matrix, MIMO, Singular value, Spectrum sensing",
author = "Yulong Gao and Xinsheng Han and Ran Li and Yongkui Ma",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2016 ; Conference date: 05-09-2016 Through 09-09-2016",
year = "2016",
month = sep,
day = "26",
doi = "10.1109/IWCMC.2016.7577108",
language = "英语",
series = "2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "499--503",
booktitle = "2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016",
address = "美国",
}