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Sensors 2016, 16(10), 1559;

Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT

National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, China
School of Information and Electronics, Beijing Institute of Technology, Beijing 10081, China
The Second System Design Department of Second Research Academy of CASIC, Beijing 100854, China
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 15 July 2016 / Revised: 12 September 2016 / Accepted: 19 September 2016 / Published: 24 September 2016
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [4419 KB, uploaded 24 September 2016]   |  


This paper proposes a time-frequency algorithm based on short-time fractional order Fourier transformation (STFRFT) for identification of a complicated movement targets. This algorithm, consisting of a STFRFT order-changing and quick selection method, is effective in reducing the computation load. A multi-order STFRFT time-frequency algorithm is also developed that makes use of the time-frequency feature of each micro-Doppler component signal. This algorithm improves the estimation accuracy of time-frequency curve fitting through multi-order matching. Finally, experiment data were used to demonstrate STFRFT’s performance in micro-Doppler time-frequency analysis. The results validated the higher estimate accuracy of the proposed algorithm. It may be applied to an LFM (Linear frequency modulated) pulse radar, SAR (Synthetic aperture radar), or ISAR (Inverse synthetic aperture radar), for improving the probability of target recognition. View Full-Text
Keywords: Micro Doppler frequency; short-time fractional order Fourier transformation; multi-order matching; order selection Micro Doppler frequency; short-time fractional order Fourier transformation; multi-order matching; order selection

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Pang, C.; Han, Y.; Hou, H.; Liu, S.; Zhang, N. Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT. Sensors 2016, 16, 1559.

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