文献类型：期刊文献

英文题名：New Estimators for Primary Channel Gain in Cognitive Radio Networks

作者：Chen, Yunfei[1,2];Wu, Yue[1];Zhang, Jie[1,3];Chen, Ning[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England;[3]Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England

年份：2018

卷号：22

期号：12

起止页码：2435

外文期刊名：IEEE COMMUNICATIONS LETTERS

收录：;EI(收录号：20184305975198);WOS:【SCI-EXPANDED(收录号:WOS:000453624300010)】；

基金：This work is supported in part by Shanghai Sailing Program (Grant No.: 18YF1405300), National Natural Science Foundation of China (61771196), and EC H2020 778305-DAWN4IoE. The associate editor coordinating the review of this letter and approving it for publication was A. S. Cacciapuoti.

语种：英文

外文关键词：Channel estimation; cognitive radio; moments

摘要：The channel gain from the primary transmitter to the primary receiver is an important system parameter that is required for the efficient operation of cognitive radio networks. In this letter, two new estimators for the primary channel gain are derived by using the received signals directly based on the method of moments. The estimation is performed at the cognitive radio independently without any cooperation from the primary user. Both Rayleigh and Nakagami-m fading channels are considered. The proposed estimators are much simpler and less restrictive than the existing estimators. Numerical results also show that they can outperform the existing estimators in many cases.