Micro-motion Parameters Estimation Using Randomized Stepped Frequency Radar

This paper deals with the micro-motion parameter estimation of ballistic targets. In the proposed method, the Randomized Stepped Frequency (RSF) radar waveform is applied to provide high resolution of both range and velocity at the same time, which makes the separation of multiple micro-motion compo...

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Bibliographic Details
Published in2019 IEEE Radar Conference (RadarConf) pp. 1 - 6
Main Authors Zhao, Chuncheng, Liu, Yimin, Huang, Tianyao, Wang, Lei, Tan, Huaiying
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2019
Subjects
Estimation
Geometry
micro-motion feature extraction
Parameter estimation
Radar cross-sections
radar target recognition
Randomized stepped frequency (RSF) radar
Scattering
Target recognition
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Summary:This paper deals with the micro-motion parameter estimation of ballistic targets. In the proposed method, the Randomized Stepped Frequency (RSF) radar waveform is applied to provide high resolution of both range and velocity at the same time, which makes the separation of multiple micro-motion components easier. Then following the least squares criterion, a new estimation algorithm is introduced to achieve accurate target precession angle and period. Numerical experiments using data from commercial electromagnetic simulation software show that the proposed method can accurately estimate the micro-motion parameters of a conical warhead with a significantly shorter observing time.
ISSN:2375-5318
DOI:10.1109/RADAR.2019.8835595