论文部分内容阅读
文章针对采用自适应跳频的DS／AFHCDMA系统的特点，在多目标优化的基础上采用神经网络方法实现自适应跳频地址编码，从而克服了系统在用户数量较大时跳频算法复杂性带来的实时性问题。结果表明，利用神经网络方式进行自适应跳频编码是有效、可行的方法。
In this paper, based on the characteristics of DS / AFH CDMA system with adaptive frequency hopping, adaptive frequency hopping address coding is implemented by using neural network based on multi-objective optimization so as to overcome the complexity of frequency hopping algorithm when the number of users is large To real-time problems. The results show that the use of neural network adaptive frequency hopping coding is an effective and feasible method.