Research Auto-regressive And Moving-average Processing Module Of Multi-modulation Reception System Of Automotive

In recent years, modern multimedia communications business is developing leaplyand boundly. Wireless communication has irreplaceable advantages in mobility,flexibility, concealment and secrecy, and the corresponding potential for development.It becomes more important in political, economic, military and national securityposition. With the maturity of3G technology and research of4G communicationtechnology applications, traffic tends to massive demand for single modecommunication which has been unable to satisfy user needs. So multi-standardcommunications came into being more and more industry by countries attention, relatedtechnology and research get more and more vigorously to achieve the investmentvehicle communication system.To satisfy different communication service providers from various formats of datacommunications, communication system must be able to provide various formatstransceiver processing resources. In this context, multi-standard communicationstechnology has become the best way. Among them, high-precision universal jointmulti-standard demodulation is the key to the system, but how to effectively implementdigital demodulation carrier synchronization is the key. Therefore, in order to correctlyimplement the reception carrier synchronization needs accurately estimated carrierfrequency offset and carrier compensation.This paper uses the signal spectral estimationtechnology as a method. For automotive multi-standard wireless communication systemrequired spectrum estimation less than1Hz precision, this paper based on theautoregressive/moving average (Auto Regressive Moving Average, ARMA) model toestimate the carrier frequency offset. Experimental results show that estimationaccuracy is less than four decimal places, and it compliance fully with thecorresponding engineering needs.This thesis mainly include the following aspects:(1) In the wirelesscommunication, study the methods of compensate for Doppler shift caused by channeldistortion.(2) Solve the FFT algorithm with the ARMA model is estimated to be underestimated the scope of the problem of insufficient carrier spectrum, and system carrier spectrum estimation.(3) After the ARMA model algorithm contained spectralestimation, by compensating carrier frequency offset, to achieve carrier synchronization.Compared with the prior art, through the analysis of the relative error of the system,the method of this paper can be achieved at lower SNR carrier synchronization.