用Adaline网络实现电力线载波机的同频带全双工通信

Full-duplex communication of PLC in same frequency band based on Adaline NN

分析了电力线载波机(PLC)的回波信号干扰问题,并指出了由此带来的电力线信道利用率低的问题。提出了一种利用Adaline网络(自适应线性神经网络)抵消回波信号的方法。利用神经网络强大的自适应能力、学习能力进行回波抵消,可使电力线载波机在同频带内实现全双工通信。由此即可提高信道利用率,因而此方法具有相当高的实用价值。结合ESB900系列数字式电力线载波机,探讨了在数字式电力线载波机上如何具体实现同频带内全双工通信,并利用M atlab对其可行性进行了仿真。

This paper analyzed the echo signal disturbing problem of PLC which will result in lower channel use factor to solve this problem, an echo cancellation method based on Adaline NN （Auto -adapted linear nerve network） is advanced. Using formidable auto - adapted ability and learning ability of NN to Counterbalance echo, the full - duplex communication of PLC in same frequency can be realized, and the channel use factor can be raised. Combining with ESBg00 digital PLC, it discusses how to practically realize full - duplex communication of PLC in same frequency. The feasibility of this method is studied with Matlab simulation.