基于多目标优化认知无线电干扰抑制算法  

Interference Suppression Algorithm for Cognitive Radio Based on Multi-Objective Optimization

作　　者：刘苗[1] 孙振兴[1,2] LIU Miao;SUN Zhenxing(Qinhuangdao Branch Campus,Northeast Petroleum University,Qinhuangdao 066004,China;School of Computer Science and Engineering,Northeastern University,Shenyang 110006,China)

机构地区：[1]东北石油大学秦皇岛校区,河北秦皇岛066004 [2]东北大学计算机科学与工程学院,沈阳110006

出　　处：《吉林大学学报（信息科学版）》2018年第4期366-371,共6页Journal of Jilin University（Information Science Edition）

基　　金：国家自然科学基金青年基金资助项目(61601111);黑龙江省博士后启动基金资助项目(LBH-Q16309)

摘　　要：认知无线电系统的重要原则是保障授权用户的通信质量,为了提高授权用户的通信质量必须有效抑制授权用户与认知用户的载波间干扰,为此提出了基于多目标优化的认知无线电干扰抑制算法。该算法通过分析频谱池中影响授权用户的载波间干扰能量,定位出认知用户子载波中对授权用户产生最大干扰的子载波序列,在满足认知用户数据传输率目标的前提下,屏蔽这些最大干扰子载波能有效抑制系统干扰能量。仿真结果表明,在满足认知用户目标误码率条件下,新的干扰抑制算法能明显抑制影响授权用户的载波间干扰,使授权用户获得更好的误码率性能。The important principle of Cognitive Radio system is to guarantee the communication quality of licensed users. In order to improve the communication quality of licensed users,the inter-carrier interference between licensed users and un-licensed users must be effectively suppressed. A multi-objective optimization based interference suppression algorithm for Cognitive Radio is proposed. By analyzing the interference energy of the licensed users in the spectrum pooling,the algorithm locates the subcarrier sequence which produces the maximum interference to the licensed users in the un-licensed user＇s subcarrier. Under the premise of meeting the data transmission rate target of the un-licensed users,masking these maximum interference subcarriers effectively suppress the interference energy of the system. The simulation results show that the new interference suppression parallel algorithm can obviously reduce the interference and make licensed users obtain better bit error rate performance.

关 键 词：多目标 干扰抑制 频谱池 

分 类 号：TN911.22[电子电信—通信与信息系统]