基于多目标优化认知无线电干扰抑制算法

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。

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

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．