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.
ISAR MUSIC First Principal Component
Yu Hanchen Zhang Yan Qian Weiping
Beijing Institute of Tracking and Telecommunication,Beijing,China;Key Laboratory of Space Object Mea Key Laboratory of Space Object Measurement,Beijing,China
国际会议
重庆
英文
916-919
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）