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Correlation Characteristics of Radar Signals for the Object Identification to Urban Autonomous Driving

In automatic driving, the object is the vehicle on the centre of the express highway, although. It is necessary to identify of the dogs, people, motor cycles, vehicles etc and predict their behaviours in the urban area. We propose the identification procedures based on the utilizations of unique code sequence contained in the reflection signals from an object by millimeter wave radar for urban autonomous driving. We demonstrate the identification performance of the symmetric high S/N ratio equivalent to the unique code sequence of the vehicle's itself on autocorrelation and 34% suppression effect with the different vehicle code sequence on cross correlation.