REMOVAL OF JEM SIGNAL BY ACCURATE ESTIMATION OF INITIAL PARAMETERS OF CHIRPLET BASIS FUNCTIONS

The inverse synthetic aperture radar (ISAR) image can be very effective in target recognition because it provides 2-D image that uses frequency data measured at various observation angles. However, the jet engine modulation (JEM) that can occur in the received signal due to the rotation of the blade in the engine may result in image blurring in cross-range direction. In this paper, we propose an efficient method of removing JEM signals by using the existing chirplet basis function and an efficient method to estimate the initial values of the four parameters of the chirplet. Simulations using the measured data provided clear ISAR image of a real Boeing747 aircraft.