异构多认知无线网络共存场景下的网络识别算法  

Network Identification Algorithm for Heterogeneous Multi-Cognitive Wireless Networks Coexistence

作　　者：冯文江[1] 廖万丽 张福金[2] 万情 

机构地区：[1]重庆大学通信工程学院,重庆400044 [2]琼州学院电子信息工程学院,海南三亚572022

出　　处：《上海交通大学学报》2015年第10期1578-1584,共7页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金项目(60872038);海南省自然科学基金项目(614237)资助

摘　　要：针对传统的能量检测方法不能识别信号类型以及基于单一特征的循环平稳特征检测方法的识别准确率较低等问题,提出一种融合物理层信号特征和介质访问控制(MAC)层协议特征的网络识别算法.其中,利用滑动窗口能量检测来识别MAC层协议特征,同时,利用正交频分复用符号进行快速傅里叶变换的点数和循环前缀因子的循环平稳特征进行特定时延的渐近最优卡方检测来识别物理层信号特征.仿真结果表明,所提出的网络识别算法能够有效识别基于IEEE 802.22、IEEE802.11af、IEEE802.16h和ECMA392标准的异构多认知无线网络.To solve the inability of signal type identification by the traditional energy detection and the low accuracy of single feature based cyclostationary feature detection,a network identification algorithm was proposed by integrating physical signal time-frequency characteristics with media access control（MAC）layer protocol characteristics.The window-sliding energy detection was used to identify MAC layer protocol characteristics,the cyclostationary double features detection was utilized to identify physical signal characteristics,which took into account both the FFT points of the OFDM symbol,and the cyclostationary feature detection of cycle prefix factor was used to gradually perform chi-square optimal detection of specific delay.Simulation results show that the proposed algorithm can identify the heterogeneous cognitive wireless networks based on IEEE 802.22,IEEE802.11 af,IEEE802.16 hand ECMA392in high accuracy.

关 键 词：异构多认知无线网络 网络发现与识别 能量检测 循环平稳特征检测 

分 类 号：TN915[电子电信—通信与信息系统]