摘要
舰载通信系统本来就工作在弱信号区域,其通信效能的评估指标较多,各个指标在工作过程中并不完全独立,评估条件又受到工作区域恶劣环境的干扰,具有不确定性。传统的评估方法对舰载通信效能评估的过程中,只以各典型的属性作为评估指标,忽略某些模糊性指标间的相互作用,导致获取的评估结果不真实。提出一种基于RBF模糊神经网络的恶劣环境下的舰载通信效能评估优化模型,依据舰载通信系统的结构组成和影响系统的各种因素,建立舰载通信系统性能的指标体系,采用RBF模糊神经网络的方法建立舰载通信效能评估优化模型,在进行计算的过程中对权值以及隶属度进行自适应调整,对网络进行学习和训练,实现舰载通信效能评估。实验结果表明,采用所提算法对舰载通信系统进行效能评估,不仅评估结果准确有效,而且效率高,验证了该优化模型在恶劣环境下的舰载通信效能评估的有效性和可行性。
Carrier communication system would work in the region of the weak signal,the communication efficiency of the evaluation index is more,the various indicators are not completely independent,in the process of work evaluation is under the interference of the working area of bad environment conditions,is uncertain. Traditional evaluation methods of ship-borne communication effectiveness evaluation process,only in the typical attributes as evaluation index,ignore certain fuzziness index interactions that lead to obtain the evaluation result is not true. Put forward a kind of bad environment on the basis of RBF fuzzy neural network optimization model of ship-borne communication effectiveness evaluation,according to the structure of the carrier communication system and various factors of influence system,establish the shipboard communication system performance index system,adopt the method of RBF fuzzy neural network carrier communication effectiveness evaluation optimization model is set up,in the process of calculation for adaptive adjustment of weight and membership degree,the network learning and training,realize the shipboard communication effectiveness evaluation. The experimental results show that the proposed algorithm for carrier communication system effectiveness evaluation,evaluation results not only effective,accurate and high efficiency,validation of the proposed optimization model under the bad environment the feasibility and effectiveness of the shipboard communication effectiveness evaluation.
出处
《计算机仿真》
CSCD
北大核心
2015年第7期186-189,252,共5页
Computer Simulation
关键词
恶劣环境
模糊神经网络
舰载通信
效能评估
Harsh environments
Fuzzy neural network
The shipboard communication
Effectiveness evaluation
