Abstract
Moving target shadows continuously appear in the sequential images produced by video synthetic aperture radar (SAR), which conducts research on shadow-based detection and tracking of moving targets. This article addresses a typical shadow-based detection and tracking problem of dim high-maneuvering targets in the complex background. Building upon the dynamic programming-based track-before-detect (DP-TBD) algorithm, this article proposes a joint-processing-strategy-based DP-TBD (JP-DP-TBD) algorithm to detect and track multiple high-maneuvering targets in video SAR. Benefiting from both of the location and radial velocity information of the targets in the video SAR image and range-Doppler (RD) spectrum, the JP-DP-TBD algorithm can screen the state candidate region and retain more states that conform to the motion law of the target. Meanwhile, we adopt a dual-frame close-range matching mechanism to complete the automatic initialization of the candidate target state, whose validity has been verified on the real video SAR data. Experimental results on simulated data demonstrate that the proposed algorithm has better detection ability and fewer false alarms in comparison with other TBD algorithms.
Highlights
V IDEO synthetic aperture radar (SAR), a high frame rate imaging system [1], has become a research hotspot recently
(2) Under the premise of only using video SAR image data, we propose an initialization algorithm based on the dual-frame close-range matching mechanism to solve a primary problem of automatic extraction of initial state in video SAR, which contributes to a good foundation for the subsequent detection and tracking
We present the proposed JP-dynamic programming-based track-before-detect (DP-TBD) algorithm aiming at achieving accurate state estimation and tracking multiple highmaneuvering targets
Summary
V IDEO synthetic aperture radar (SAR), a high frame rate imaging system [1], has become a research hotspot recently. The ES-TBD algorithm, like the other algorithms mentioned above, regards video SAR moving target shadow detection as an image target detection problem, so the information contained in the complex echo signal of radar, such as Range-Doppler (RD) spectrum, is not fully extracted. Multiple strong maneuvering targets in video SAR Benefiting from both of the location and radial velocity information of the targets in the video SAR imagery and the RangeDoppler (RD) spectrum, JP-DP-TBD algorithm exploits echo radar data to retain more states that conform to the target motion, which improves the shadow detection performance of high-maneuvering targets. The algorithm first transforms raw echo data of radar into continuous video SAR images and corresponding range Doppler (RD) spectra, we adopt a dual-frame close-range matching mechanism to automatically extract the initial state of candidate targets, so as to integrate the whole detection process.
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