CAJ | 학술논문

文中在无线传感网传输模型分簇的基础上，针对簇内信号盲检测降低误码率和提高收敛性问题，提出了一种基于人工鱼群算法的信号盲检测算法。该算法采用自下而上的设计，构造了人工鱼的基本模型以及其各行为的模型，不需要了解问题的特殊信息，只需要对问题解的优劣进行比较，用此模型解决无线传感网簇内盲信号检测的二次规划性能函数。仿真结果表明，算法具有全局收敛性好、收敛速度快、误码率低的优点，从而成功实现了簇内簇首传感器信号盲检测。
문중재무선전감망전수모형분족적기출상，침대족내신호맹검측강저오마솔화제고수렴성문제，제출료일충기우인공어군산법적신호맹검측산법。해산법채용자하이상적설계，구조료인공어적기본모형이급기각행위적모형，불수요료해문제적특수신식，지수요대문제해적우렬진행비교，용차모형해결무선전감망족내맹신호검측적이차규화성능함수。방진결과표명，산법구유전국수렴성호、수렴속도쾌、오마솔저적우점，종이성공실현료족내족수전감기신호맹검측。
Based on model clustering in wireless sensor network transmission in this paper,in view of the problem of cluster signal blind detection lowering bit error rate and improving convergence,a signal blind algorithm based on artificial fish school algorithm is proposed. The bottom-up design is used in the novel algorithm and the basic model of artificial fish and its various models of behavior are construc-ted. It doesn’t need to know the problem’s special information and only to compare the advantage and disadvantage for the problem solu-tion. The quadratic programming performance functions of inter-cluster signals is solved by the algorithm. Simulation results show that the algorithm has the advantages of good global convergence,quick convergence speed,low error rate,thus successfully implementing blind detection of sensor signal within the cluster and in the cluster head.