自适应复信道均衡的一种新的神经网络方法

近年来,神经网络已经广泛地应用到许多信号处理问题中.自适应信道均衡是数字通信系统中的一个重要问题.在本文中我们提出一种基于复数赫布类型算法的自适应信道均衡器.计算机模拟表明,无论在线性还是非线性信道中,所提出的均衡器均表现出良好的性能,这为自适应复信道均衡提供了一种新的方法.

Nonlinear Adaptive Predictive Countermeasures of Chaotic FH-SS Communications

In recent years, neural network have been extensively applied to many signal processing problems. Adaptive channel equalization is a major issue in digital communications. In this paper we proposed an adaptive equalizer based on complex Hebbian-type learning algorithm. Computer simulation results demonstrate that the proposed equalizer has powerful propenies both in linear and nonlinear channels. It proposed a novel method for adaptive complex channel equalization.