舰基无线通信组网节点优化部署模型仿真

Simulation of Optimal Deployment Model of Ship-based Wireless Communication Networking Nodes

为了提高舰基无线通信组网传输性能,降低数据丢包率和误码率,提出基于多重轮换调度和自组织学习的舰基无线通信组网节点优化部署方法。构建舰基无线通信组网传输链路结构模型,结合链路拓扑结构的覆盖能力分析和传输信道特征分析,采用信道均衡调度方法实现对舰基无线通信组网传输层次结构化调度和扩频处理,采用多传感融合跟踪识别方法实现对通信组网节点的多重轮换调度。结合自组织神经网络学习和信道增益扩频处理实现对通信组网节点的优化部署设计,以误码率、丢包率和通信节点有效覆盖度等参数为测试指标进行仿真分析。仿真结果表明,采用该方法进行舰基无线通信组网节点部署设计,通信覆盖度较高,误码率和丢包率较低,提高了舰基无线通信组网的信道均衡能力和数据安全传输能力。

In order to improve the transmission performance of ship-based wireless communication networking and reduce the data packet loss rate and bit error rate,an optimal deployment method of ship-based wireless communication networking nodes based on multiple rotation scheduling and self-organizing learning is proposed.The transmission link structure model of ship-based wireless communication network is constructed.Combining with the coverage ability analysis of link topology and transmission chan⁃nel characteristics analysis,the structured scheduling and spread spectrum processing of ship-based wireless communication net⁃work transmission layer are realized by channel balanced scheduling method,and the multi-sensor fusion tracking and identifica⁃tion method is used to realize multi-rotation scheduling of communication network nodes.The optimal deployment design of commu⁃nication network nodes is realized by combining self-organizing neural network learning and channel gain spread spectrum process⁃ing.The simulation analysis is carried out with parameters such as bit error rate,packet loss rate and effective coverage of communi⁃cation nodes as test indicators.The simulation results show that this method has higher communication coverage,lower bit error rate and packet loss rate,and improves the channel equalization ability and data security transmission ability of ship-based wireless communication networking.