Design of recognition and compensation system for vehicle communication signal based on vehicle networking

Abstract

A vehicle communication signal recognition and compensation system based on vehicle network is proposed to overcome the problems of the traditional vehicle communication signal recognition system, such as poor anti-interference and signal recognition accuracy. The hardware part of the system consists of three modules. The software uses inverse operator and Wiener filter to compensate the vehicle communication signal and improves the precision of signal recognition. The MFCC parameters are extracted as the main parameters of signal recognition, and the distance measurement between the unknown communication signal and each template is obtained by using the non-linear registration mode DTW, so as to realise the optimal registration mode of signal pattern recognition. Experimental results show that the anti-interference performance of the system is about 110 dB, and the recognition rate of different types of signals is more than 85%, which proves that the system has high recognition accuracy and strong anti-interference ability.