Abstract
Micromotion features of a target contain unique structural information and motion information about the target, which can be used as an important basis for target recognition. One of the technical bottlenecks for micromotion feature extraction is achieving a fine characterization of the target motion state. With the high-precision range and velocity measurement, this paper uses the phase-derived method to reconstruct the motion state of the target and realize accurate translational compensation for the target. At the same time, the high range resolution of wideband radar is used to effectively extract target scattering points with micromotion from the perspective of the one-dimensional high range resolution profile and the two-dimensional inverse synthetic aperture radar (ISAR) image. On this basis, reliable micromotion feature extraction can be achieved by using the slow variability of the target motion and eliminating the translational or rotational information of the target. The performance of the high-precision range and velocity measurement and the feasibility of the micromotion feature extraction based on phase-derived range and velocity measurement are verified by simulation results. Then, the effectiveness of the proposed algorithm is further verified by carrying out a steel ball ejection experiment and a civil aviation aircraft experiment.
Highlights
With the rapid development of target feature control technology such as the stealth and camouflage and spoofing technology of false target imaging, target detection and recognition methods based on radar features such as the target shape and size have been severely challenged [1], [2]
There is a technical bottleneck in micromotion feature extraction due to the imprecision of translational compensation, the difficulty in distinguishing the scattering points and the invisibility of a small-amplitude micromotion feature
The scattering points are distinguished, and the micromotion feature is effectively extracted from the perspective of the one-dimensional High range resolution profile (HRRP) and the two-dimensional inverse synthetic aperture radar (ISAR) image
Summary
With the rapid development of target feature control technology such as the stealth and camouflage and spoofing technology of false target imaging, target detection and recognition methods based on radar features such as the target shape and size have been severely challenged [1], [2]. In this paper, based on phase-derived range measurement (PDRM) and phase-derived velocity measurement (PDVM), micromotion feature extraction is discussed from the perspective of the one-dimensional high range resolution profile (HRRP) and the two-dimensional ISAR image. For a target with a prominent scattering point, the PDRM and PDVM methods are discussed On this basis, the micromotion feature extraction based on a one-dimensional HRRP is proposed. For a complex target without a prominent scattering point, the use of PDVM based on the range profile cross correlation (RPCC) to realize accurate translational compensation of the ISAR image is discussed. A precise velocity estimation at the target Doppler center can be obtained, which can be used to achieve the target translational compensation; and obtain high quality ISAR images On this basis, a micromotion feature extraction method based on two-dimensional ISAR images is proposed. The proposed algorithm is verified by simulation analysis and measured data
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
