Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT.
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.
National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, China. pangcunsuo@126.com.
Cunsuo
C
Pang
National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, China. hanyan@nuc.edu.cn.
Yan
Y
Han
National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan 030051, China. hou_huiling@126.com.
Huiling
H
Hou
School of Information and Electronics, Beijing Institute of Technology, Beijing 10081, China. henry@bit.edu.cn.
Shengheng
S
Liu
The Second System Design Department of Second Research Academy of CASIC, Beijing 100854, China. matt@bit.edu.cn.
Nan
N
Zhang
Micro Doppler frequency; multi-order matching; order selection; short-time fractional order Fourier transformation
Sensors (Basel). 2016 May 09;16(5):null
27171088