Micro-Doppler feature extraction using single-frequency radar for high-speed targets

• Published in: IET Conference Proceedings p. D0562
• Main Authors: Wang, Cai, Fu, Xiongjun, Li, Ting, Shi, Lumin, Gao, Meiguo
• Format: Conference Proceeding
• Language: English
• Published: Stevenage, UK IET 2013; The Institution of Engineering & Technology
• Subjects: Radar equipment, systems and applications; Radar theory; Signal detection; single frequency radar; high speed target; radar detection; radar target micromotion; microDoppler feature extraction; long observation time; feature extraction; microDoppler signature; narrowband echo model; Doppler radar; echo coherent preprocessing
• DOI: 10.1049/cp.2013.0381
• ISBN: 1849196036; 9781849196031

The micro-motion of radar targets commonly mixes with bulk translation. In order to extract the micro-Doppler signature of moving targets during a long observation time, it is necessary to perform coherent preprocessing on the echo to compensate the bulk translation. This paper first derives the narrowband echo model for high-speed targets with precession and gives a coherent preprocessing algorithm based on the echo model. Then the micro-Doppler signature is analyzed by joint time frequency transform and the micro-motion period is estimated by a method based on inverse radon transform. Finally, the proposed algorithm is verified with the simulation echo of a cone with precession. (6 pages)