Abstract
In multifunction phased array radar systems, different activities (e.g., tracking, searching, imaging, feature extraction, recognition, etc.) would need to be performed simultaneously. To relieve the conflict of the radar resource distribution, a micromotion feature extraction method using tracking pulses with adaptive pulse repetition frequencies (PRFs) is proposed in this paper. In this method, the idea of a varying PRF is utilized to solve the frequency-domain aliasing problem of the micro-Doppler signal. With appropriate atom set construction, the micromotion feature can be extracted and the image of the target can be obtained based on the Orthogonal Matching Pursuit algorithm. In our algorithm, the micromotion feature of a radar target is extracted from the tracking pulses and the quality of the constructed image is fed back into the radar system to adaptively adjust the PRF of the tracking pulses. Finally, simulation results illustrate the effectiveness of the proposed method.
Highlights
In recent years, space targets, especially space debris, are fast becoming a threat to aerospace activities.[1,2] Generally, a space target has a complex micromotion, such as spinning, precessing, and rolling, in addition to the body translation.[3,4] These micromotions will produce additional frequency modulation on the radar echo signal, which is called the micro-Doppler effect.[5,6,7] The micro-Doppler signature describes the characteristics of the micromotion target and reflects the transient behavior of the Doppler frequency shift, which provides important information for space target recognition.[8]
Through constructing the atoms set at the prevailing tracking data rate, the target image quality is assessed and fed back to the radar system to guide the adjustment of the pulse repetition frequencies (PRFs) of the tracking pulses and the reconstruction of the dictionary atoms
4 Experimental Results To validate the effectiveness of the micromotion feature extraction method with varying PRF sampling based on the orthogonal matching pursuit (OMP), simulations are given
Summary
Space targets (e.g., rocket bodies, fragments of satellites, ballistic warheads, etc.), especially space debris, are fast becoming a threat to aerospace activities.[1,2] Generally, a space target has a complex micromotion, such as spinning, precessing, and rolling, in addition to the body translation.[3,4] These micromotions will produce additional frequency modulation on the radar echo signal, which is called the micro-Doppler effect.[5,6,7] The micro-Doppler signature describes the characteristics of the micromotion target and reflects the transient behavior of the Doppler frequency shift, which provides important information for space target recognition.[8]. This action itself is a waste of the radar resources. An adaptively varying PRF method is proposed in this paper to further improve radar efficiency In this method, through constructing the atoms set at the prevailing tracking data rate, the target image quality is assessed and fed back to the radar system to guide the adjustment of the PRF of the tracking pulses and the reconstruction of the dictionary atoms.
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