Abstract-This paper proposes an accurate method to obtain Inverse Synthetic Aperture Radar (ISAR) images of multiple targets. The existing method using the Hough transform and edge detection has a demerit that its fitting ability of flight trajectory is not sufficient if a range profile has high order terms. For better quality of ISAR imaging, we use particle swarm optimization (PSO) to find residual high order coefficients. Simulation results show that two moving targets are successfully separated from each other.

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This paper introduces a signal processing technique for discrimination of ballistic missile's warhead. An interceptor missile to destroy the enemy's ballistic missile requires an information on the location of missile's warhead. In order to detect and locate the missile's warhead, a seeker radar in the interceptor missile makes use of chirp waveform to generate high resolution range profiles(HRRPs). We applied one of the well known spectral estimation technique called ESPRIT (Estimation of Signal Parameters by Rotational Invariance Technique) to these HRRPs to estimate scattering centers on the target. Using the information on the one-dimensional(1-D) scattering centers, we can find the location of the warhead by estimating the length of the missile, Simulation results show that the proposed signal processing technique is efficient in discriminating the warhead of an ballistic missile.

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