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This paper proposes a new method for the classification problem of turbojet aircraft, prop aircraft and helicopter under the condition of low-resolution radar system. Based on the jet engine modulation (JEM) characteristics of the aircrafts' radar echoes, we use the Empirical Mode Decomposition (EMD) algorithm to extract the three-dimensional micro-Doppler feature vector. Experimental results based...
A novel classification scheme is proposed to categorize airplane targets into three kinds, i.e., turbojet aircraft, prop aircraft, and helicopter based on the jet engine modulation (JEM) characteristics of their low resolution radar echoes. From the pattern classification viewpoint, the low-dimensional feature vector is extracted via a two-step feature extraction algorithm based on empirical mode...
This paper utilizes empirical mode decomposition to analyze the micro-motion of moving vehicles. Due to the adaptive function of empirical mode decomposition (EMD), different micro-motion of moving vehicles can be extracted by this decomposition technique. The analysis results based on simulated data and measured data show that special structures of different vehicles can be well depicted by EMD.
Micro-Doppler information contained in the returned echo reflects the special structure of moving vehicles and can be utilized to discriminate wheeled vehicle and tracked vehicle. In this paper, generalized matched filter is employed to suppress clutter and a preprocessing is used to eliminate the influence of bulk velocity for Doppler spectrum firstly. Then features which depict the distinction between...
Multi-target resolution is a major challenge when there are numbers of targets in the same range cell. Micro-motion, such as vibration/rotation of an object or structures on the object, offers a new method to resolute targets. The paper proposes a novel method to implement the multiple targets resolution based on the micro-Doppler(mD) induced by micro-motions on targets in a high noise environment...
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