Radar Applications Through Soft Computing: for Safety Applications in Intelligent Transport System

Intelligent Transport System (ITS) is the intelligence invoked in the Transport System so that probability of occurrence of accidents can be reduced, to avoid accidents between vehicles it is necessary to classify the targets properly and then providing that information to each of the vehicles communicated with the network , and it will be possible when a efficient radar imaging technique will be there, by applying that technique and using returned energy from the target to the radar receiver, images of the targets can be constructed but due to presence of clutter it is not possible to get the returned energy only from the target to the radar. So there must be a efficient Clutter rejection technique that rejects the clutter in the radar receiver from the energy of interest to construct the radar image and to classify the targets. In this book Radar image is constructed by Joint time-frequency transform method, Target classification is done using the concepts of Supervised Artificial Neural Network, Clutter is rejected by MTI filtering technique and using Artificial Neural Network.