Interferometric angular velocity measurement of rotating blades: theoretical analysis, modeling and simulation study

Doppler radar can only measure the radial velocity of a moving object. If an object is moving along a curved path, when its radial velocity decreases, the angular velocity must increase. Thus, if the angular velocity can be measured, the problem caused by little or no radial velocity can be solved. In this paper, we provide detailed theoretical analysis and establish the mathematical model of the interferometric frequency shifts of rotating blades. We first analyze the instantaneous frequency of a SINC function, which comprises a pair of sinusoidals and a train of strong spectrum lines. Then, we utilize the convolution theory in time-frequency domain to calculate the interferometric frequency shifts of rotating blades. Simulation results manifest that some important parameters and features of rotating blades, such as blade length, rotating rate and blade number, can be accurately estimated from the time-varying interferometric frequency signatures.

[1]  Prof. Alec Eden The Search for Christian Doppler , 2012, Springer Vienna.

[2]  V.C. Chen,et al.  Time-varying Doppler analysis of electromagnetic backscattering from rotating object , 2006, 2006 IEEE Conference on Radar.

[3]  Dave Tahmoush,et al.  Review of micro-Doppler signatures , 2015 .

[4]  Hao Ling,et al.  Time-Frequency Transforms for Radar Imaging and Signal Analysis , 2002 .

[5]  Jonathan Histon,et al.  Feature extraction and radar track classification for detecting UAVs in civillian airspace , 2014, 2014 IEEE Radar Conference.

[6]  J. Nanzer Micro-motion signatures in radar angular velocity measurements , 2016, 2016 IEEE Radar Conference (RadarConf).

[7]  On the Resolution of the Interferometric Measurement of the Angular Velocity of Moving Objects , 2012, IEEE Transactions on Antennas and Propagation.

[8]  J. Nanzer,et al.  Dual Interferometric-Doppler Measurements of the Radial and Angular Velocity of Humans , 2014, IEEE Transactions on Antennas and Propagation.

[9]  G. Swenson,et al.  Interferometry and Synthesis in Radio Astronomy , 1986 .

[11]  Mark A. Govoni Micro-Doppler signal decomposition of small commercial drones , 2017, 2017 IEEE Radar Conference (RadarConf).

[12]  David Tahmoush,et al.  Detection of small UAV helicopters using micro-Doppler , 2014, Defense + Security Symposium.

[13]  Rui Wang,et al.  Micro-Doppler measurement of insect wing-beat frequencies with W-band coherent radar , 2017, Scientific Reports.

[14]  V. C. Chen,et al.  Time-varying spectral analysis for radar imaging of manoeuvring targets , 1998 .

[15]  Carmine Clemente,et al.  Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar , 2013, EURASIP J. Adv. Signal Process..

[16]  Brian D. Rigling,et al.  Micro-Range/Micro-Doppler Decomposition of Human Radar Signatures , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[17]  Carmine Clemente,et al.  'The Micro-Doppler Effect in Radar' by V.C. Chen , 2012 .

[18]  Youngwook Kim,et al.  Human Detection Using Doppler Radar Based on Physical Characteristics of Targets , 2015, IEEE Geoscience and Remote Sensing Letters.

[19]  J. J. M. de Wit,et al.  Radar micro-Doppler feature extraction using the Singular Value Decomposition , 2014, 2014 International Radar Conference.

[20]  H. Wechsler,et al.  Analysis of micro-Doppler signatures , 2003 .

[22]  J. Nanzer Millimeter-Wave Interferometric Angular Velocity Detection , 2010, IEEE Transactions on Microwave Theory and Techniques.

[23]  Francesco Fioranelli,et al.  Classification of loaded/unloaded micro-drones using multistatic radar , 2015 .

[24]  Boualem Boashash,et al.  Time-frequency approach to radar detection, imaging, and classification , 2010 .

[25]  H. Wechsler,et al.  Micro-Doppler effect in radar: phenomenon, model, and simulation study , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[26]  Francesco Fioranelli,et al.  Monostatic and bistatic radar measurements of birds and micro-drone , 2016, 2016 IEEE Radar Conference (RadarConf).

[27]  Jeffrey A. Nanzer,et al.  Microwave interferometric and Doppler radar measurements of a UAV , 2017, 2017 IEEE Radar Conference (RadarConf).

[28]  Victor C. Chen,et al.  Experimental study on radar micro-Doppler signatures of unmanned aerial vehicles , 2017, 2017 IEEE Radar Conference (RadarConf).

[29]  Stephanie Thalberg,et al.  Interferometry And Synthesis In Radio Astronomy , 2016 .