Target recognition using wavelets decomposition

Radar target recognition continues to be a challenging problem which has yielded considerable algorithmic and hardware advances, particularly in military applications. It has been known for many years that the echo received from a remote object in response to illumination by a radar system is dependant on the nature and shape of the object, leading to the idea that a system could be devised for an eventual recognition of objects of differing shapes from radar echoes. In the development of automatic target detection and recognition systems, the issue of image data interpretation commonly yields to very difficult deciding situations. This paper addresses the problem of radar target recognition using models and images along with a matching approach involving the radar cross section signature.