Wenchao Li - IEEE Xplore Author Profile

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Radar micro-Doppler (m-D) is the phenomenon of the observed micro-motions on top of the bulk main Doppler component of a target's motion. The micro-Doppler features of radar target returns were extracted through various time-frequency (T-F) analyses. The new method for T-F analysis is based on dictionary decomposition, in which the time-frequency signal is decomposed into a combination of time-fre...Show More
Radar micro-Doppler is the phenomenon of the observed micro-motions on top of the bulk main Doppler component of a target's motion. Joint time-frequency analysis is the tool of first choice for micro-Doppler features extraction, among which Hilbert-Huang transformation (HHT) is able to extract exact instantaneous micro-Doppler feature by the Hilbert transform. To overcome the shortcoming of HHT in...Show More
Micro-Doppler effect refers to the additional Doppler frequencies around main Doppler frequency which is caused by the micro-motion. Radar targets' motion parameters are useful for characterizing the target and become inputs to automatic target recognition algorithms, which means parameters estimation is fundamental and vital for the target recognition. To improve the instance frequency (IF) estim...Show More
The mechanical dynamics in addition to its bulk translation of the target or any structure on the target is called micro-motion, which yields new features in the target's signature that are distinct from its signature in the absence of micro-motion. Micro-motion evokes a frequency modulation in radar echo known as micro-Doppler (m-D) effect which may help to detect specific intrinsic structures of...Show More
The mechanical dynamics in addition to its bulk translation of the target or any structure on the target is called micro-motion. Micro-motion evokes a frequency modulation in radar echo known as micro-Doppler (m-D) effect which may help to detect specific structures of a target with micro-motion, leading a potential way to realize target identification by extracting the micro-Doppler features. In ...Show More
The micro-Doppler induced by micro-motion in radar target represents an important characteristic made available for target recognition, which is usually manifest a sinusoid in the time-frequency (T-F) domain. Inverse Radon transform has been validated as an effective sinusoid detection method. Considered on the condition that multiple sinusoids existed in the T-F plane especially one is weaker rel...Show More
This paper proposes a novel registration method for optical and SAR images which is based on straight line features and mutual information. Firstly, different edge detectors are employed to detect the line segments in both optical and SAR images respectively. Then, through the Hough transform and a straight line fitting and filtration method, the main straight lines of each image are extracted and...Show More