NDLI: Aliasing-free micro-Doppler analysis based on short-time compressed sensing

Content Provider	IET Digital Library
Author	Liu, Zhen Wei, Xizhang Li, Xiang
Abstract	Time–frequency distribution (TFD) has been widely used for micro-Doppler analysis in radar signal processing. However, the spectrogram will suffer from aliasing if the maximum Doppler frequency exceeds half of the pulse repetition frequency, which may lead to false estimation of the targets' kinematic properties. In this study, by transmitting a series of random pulse repetition interval (RPRI) pulses, a concise TFD approach named short-time compressed sensing (STCS) is proposed for aliasing-free micro-Doppler analysis. In STCS, precise analysis and synthesis of the random sampling time series can be achieved by exploiting the signal's sparsity in the frequency domain. Furthermore, adaptive to the data, the widths of the particular rectangle windows are determined by sequential processing with a proper optimisation rule. To speed up the STCS procedure, the smoothed L0 algorithm is chosen for sparse recovery, where the pseudoinverse of the dictionaries can be calculated iteratively. The simulation results indicate that the proposed STCS approach can achieve both preferable TFD and acceptable computational cost. The effectiveness of the STCS is finally verified by the application for micro-Doppler estimating in RPRI radar.
Starting Page	176
Ending Page	187
Page Count	12
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 2, Apr (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2012.0403
Journal	IET Signal Processing
Publisher Date	2013-10-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aliasing-free Micro-Doppler Analysis Compressed Sensing Concise TFD Approach Doppler Radar Frequency Domain Interpolation And Function Approximation Iterative Method Mathematical Analysis Maximum Doppler Frequency Numerical Analysis Optimisation Optimisation Technique Proper Optimisation Rule Pulse Repetition Frequency Radar Equipment Radar Signal Processing Random Pulse Repetition Interval Pulses Random Sampling Time Series Rectangle Windows RPRI Radar Sampling Method Short-time Compressed Sensing Signal Processing And Detection Smoothed L0 Algorithm Statistics STCS System And Application Time Series Time-frequency Analysis Time-frequency Distribution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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