中图分类号：TN92
文献标识码：A
DOI：10.16157/j.issn.0258-7998.201235
中文引用格式：颜廷秋，申滨，王欣. 基于无线指纹数据库的认知无线电频谱感知[J].电子技术应用，2021，47(7)：69-73.
英文引用格式：Yan Tingqiu，Shen Bin，Wang Xin. Wireless fingerprint database based spectrum sensing in cognitive radio network[J]. Application of Electronic Technique，2021，47(7)：69-73.

Wireless fingerprint database based spectrum sensing in cognitive radio network

Abstract：This paper proposes a spectrum sensing scheme based on wireless fingerprint database. Firstly, in the target geographic area covered by the cellular cognitive radio network(CCRN), the secondary user equipment(SUE) collects a large number of spectrum observation data, and processes the spectrum observation data based on various machine learning algorithms to obtain the transmission mode of primary user transmit(PUT) on the authorized spectrum. Then, in the different transmission modes of put, the geographic location area is divided, and the grid label is obtained based on the spatial distance calculation method, and the wireless fingerprint database is established. Finally, the secondary user equipment(SUE) with sensing needs obtains its wireless fingerprint according to the time of arrival(TOA) estimation of the base station(BS) reference signal, and then compares it with the wireless fingerprint in the wireless fingerprint database(WFPD) to determine its geographical location, and thus to determine the access tag of authorized frequency band. Simulations verify that the proposed scheme increases the spectrum access opportunity under the premise of minimizing the interference to the primary user.

Key words :spectrum sensing；wireless fingerprint database(WFPD)；machine learning；cell cognitive radio