认知无线电中基于一致平均的分布式合作算法

Distributed Collaborative Method Based on the Average-Consensus in Cognitive Radio

认知无线电中首要的任务是认知用户感知外界无线环境进行频谱检测和估计,目前合作式的频谱检测技术由于其良好的检测性能广受人们关注。为了提高认知用户对主用户的检测性能,提出了一种基于一致平均的分布式合作方法,优化了联合检测性能。与传统的AND算法、OR算法比较,仿真结果呈现了较好的检测性能,大大降低了误检概率和虚警概率,提高了检测概率,从而能充分利用空闲频谱。

In cognitive radio,the first task is to detect and estimate spectrum though the cognitive users sensing the external wireless environment,now the cooperative spectrum detection is very popular decause of its good detection ability.To improve the cognitive users＇ detection performance of the primary users,the paper propose a distributed collaborative method based on the average-consensus to optimize joint detection performance,compared with the traditional algorithm such as AND model,OR model,simulation results illustrate the good detection performance,greatly reduce the miss detection probability and false alarm probability,develop the detection probability,so that to make use of the idle spectrum.