A novel MUSIC ISAR method using the first principal component

The Multiple Signal Classification (MUSIC) Inverse Synthetic Aperture Radar (ISAR) algorithm is a kind of high resolution algorithm in radar imaging. Aimed at the low SNR condition and the less sampling data, this paper presents an improved MUSIC imaging algorithm using the first principal component which also can be called as first principal vector (FINE). The new algorithm is proposed to get higher quality of imaging results compared with the MUSIC algorithm and Range-Doppler algorithm in the low SNR condition. The simulation and the real data processing are presented to show the effectiveness of the new method.