摘要
信道均衡是用来消除码间串扰、对信道畸变进行补偿,从而在接收端正确的重建发送信号的滤波方法。由于信道均衡可以看作一个模式分类问题,恰恰神经网络具有良好的模式分类特征,因此针对复信道可采用CPSN进行二进制自适应信道均衡。仿真结果表明,该算法对于严重码间串扰及适度非线性畸变的复信道效果良好。
Channel equalization,used to eliminate inter-symbol interference and compensate channel distortion,is a filtering method which can correctly rebuild the sent signal in receving end. Channel equalization can be regarded as a pattern classification, neural network just has this character, so aiming at complex channel, CPSN can be used in binary adaptive equalzation. The simulation result indicates that the algorithm has better effect for complex channel which has seri8ous inter-symbol interference or moderate nonlinear distortion.
出处
《无线电工程》
2006年第5期50-52,共3页
Radio Engineering
关键词
信道均衡
神经网络
神经元
channel equalization
neural network
nerve cell
