레이더를 이용한 효과적인 편대비행 표적식별

Abstract

High resolution range profile (HRRP) and inverse synthetic aperture radar (ISAR) images are 1-dimensional and 2-dimensional RCS distributions that can be generated through radar reflection signals and provide very effective radar signature for target recognition using radar. Since HRRPs and ISAR images vary considerably depending on the aspect angle, single target classification is performed by training HRRP and ISAR images according to observation angles in the database. However, when there are many targets in the single radar beam, HRRP and ISAR images are generated in real time by the type and the number of targets, real time projection position, and scale factor according to variance of radar beam. In addition, since it is impossible to predict the above parameters in advance, unlike the single target identification problem, it is difficult to perform the multiple targets identification using the previously trained database. In this paper, HRRP and ISAR images of a single target that have been trained previously are combined and then a real time database is constructed to perform multiple targets classification. The projection position and the scale factor are optimized and combined through particle swarm optimization (PSO), and the process is repeated according to the type and number of targets to construct a real time database. F-14, F-16, F-22, and F-117 scaled models of the 1 m size measured in the electromagnetic anechoic chamber of Pohang University of Science and Technology were used to prove the validity of the proposed method. Experimental results were obtained at SNR = 0, 5, 10, 15, 20, 25, 30dB. HRRP and ISAR images of targets flying in formation were generated by randomly selecting each parameter within a specific range. In order to reduce measurement error caused by additive white gaussian noise (AWGN), simulation was repeated 100 times in each SNR environment. In the environment with SNR of 15dB or more, 100% classification result was obtained. In case of SNR = 0dB, target classification was achieved with 93% probability of HRRP and 97% of ISAR image.