一种基于神经网络的跳频信号频率预测方法  

Prediction of Frequency-Hopping Pattern Based on Neural Network

作　　者：韩睿[1] 王可人[1] 郝士琦[1] 

机构地区：[1]电子工程学院通信信号处理实验室,合肥230037

出　　处：《数据采集与处理》2001年第1期27-31,共5页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金 (编号 :6 99310 40 )资助项目

摘　　要：对跳频通信进行有效干扰的关键在于对跳频信号的频率进行较准确的预测 ,本文就此提出了一种基于神经网络的对跳频信号频率进行预测的新方法。该方法利用了神经网络的非线性映射能力 ,能够较好地对目标进行预测。仿真实验的结果表明该方法有很强的实用性 ,值得进一步研究。The key to jam frequency-hopping communication is to predict its frequencies efficiently and precisely. This paper brings forward a new method to predict Frequency-Hopping pattern based on neural network. With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target. Simulations demonstrate that the method has good practicality, and is valuable of further study.

关 键 词：神经网络 跳频信号 跳频通信 频率预测 计算机仿真 

分 类 号：TN914.41[电子电信—通信与信息系统] TP183[电子电信—信息与通信工程]