电讯技术2017，Vol.57Issue(3)：329-334,6.DOI:10.3969/j.issn.1001-893x.2017.03.014
基于权值优化的认知WiMax信号协同识别
Cooperative Recognition of Cognitive WiMax Signal Based on Weight Optimization
林绪森 1王红军1
作者信息
- 1. 电子工程学院 通信对抗系,合肥230037
- 折叠
摘要
Abstract
Traditional Orthogonal Frequency Division Multiplexing ( OFDM ) system recognition algorithm can only recognize whether or not the received signal is OFDM signal based on Worldwide Interoperability for Microwave Access( WiMax) system,but it cannot judge the signal is a cognitive signal,and the recogni-tion rate of the algorithm is low in complex electromagnetic environment. For these problems, this paper proposes a cooperative recognition algorithm to recognize cognitive WiMax radio network OFDM signals. Firstly,the algorithm uses the cyclic autocorrelation characteristic of the OFDM signal to estimate the useful symbolic time of the signal. And the estimated values of the time parameters are weighted by estimating the signal-to-noise ratio( SNR) of the cooperative sensing nodes,then the cooperative estimation of the useful symbol time is obtained. Afterwards,it judges whether the received signal is OFDM signal based on WiMax system by the cooperative estimated value of the useful symbol time. Finally,the selfish attack strategy is used to discriminate whether the OFDM signal is a cognitive WiMax signal,which lays a foundation for fur-ther research on cognitive WiMax node localization technology. The simulation results show that the pro-posed cooperative algorithm has higher recognition rate under multipath and low SNR conditions than non-cooperative recognition algorithms.关键词
认知WiMax/OFDM信号/协同识别/盲估计/自私攻击Key words
cognitive WiMax/OFDM signal/cooperative recognition/blind estimation/selfish attack引用本文复制引用
林绪森,王红军..基于权值优化的认知WiMax信号协同识别[J].电讯技术,2017,57(3):329-334,6.
