伪随机时频跳变网络谐振信号的信息容量估计

Information Capacity Estimation of Pseudo Random Frequency Hopping Network Signal

在网络切换和数据通信中,会产生一种伪随机时频跳变网络谐振信号,需要对这种谐振信号进行信号抑制,提高网络的安全性和稳定性,对网络谐振信号的信息容量估计是实现谐振信号抑制的基础。提出一种基于人工免疫的伪随机时频跳变网络谐振信号的信息容量估计算法,首先进行伪随机时频跳变网络系统的总体设计,计算网络跳变信号在人工免疫进化过程中免疫节点的位置和尺度参数,引入自适应转发控制策略,构建数据信息链优先链路选择准则,预测信号的下一个跳变点,得到多路复用波束域约束指向形成信号容量的输出结果,通过对信号容量的准确估计,可以避免网络出现启动滞后、服务器负载、消息消耗以及颤抖等现象。实验结果表明,该算法对伪随机时频跳变网络谐振信号的信息容量估计精度高,抑制性能和检测性能较好,确保了网络系统的稳定。

In the network switching and data communication, it can produce a kind of pseudo random frequency hopping network harmonic signal, signal suppression is needed to improve network security and stability, the information capacity of network harmonic signal estimation is the base of the resonant signal suppression. An information capacity estimation method of pseudo random frequency hopping network signal is proposed based on artificial immune algorithm, firstly, the overall design of the pseudo random frequency hopping network system is taken, hop location and scale parameters are calculated,the adaptive control strategy is used, information chain precedence link selection criteria is constructed, a jump point is predicted, get the multiplexed beam domain constraints to form the output results, through the accurate estimation of signal capacity, it can avoid the network start delay, server load, message consumption and trembling phenomenon. The experimental results show that, the algorithm has good estimation precision, inhibition performance and detection performance are improved, to ensure that the network system stability.