Abstract
For a slowly rotating space target (SRST) with a fixed axis, traditional 3D geometry reconstruction methods become invalid as the projection vectors cannot be formed without accurate target rotational parameters. To tackle this problem, we present a new technique for 3D geometry reconstruction by using inverse synthetic aperture radar (ISAR) image sequence energy accumulation (ISEA). Firstly, by constituting the motion model of SRST, an explicit expression is derived to describe the relative geometric relationship between the 3D geometry and ISAR image sequence. Then accurate rotational parameters and the 3D geometry of SRST can be estimated by combining the idea of the ISEA method and quantum-behaved particle swarm optimization (QPSO). Compared with the ISEA method, which can be only applied to triaxial stabilized space targets, the proposed method can achieve 3D geometry reconstruction of SRST. Experimental results based on the simulated point model and simulated electromagnetic computer aided design (CAD) model validate the effectiveness and robustness of the proposed method.
Highlights
Inverse synthetic aperture radar (ISAR) has found wide applications in space target surveillance and situation perception due to its all-day and all-weather observation and imaging capacity [1–5]
The 3D geometry of slowly rotating space target (SRST) can be hardly reconstructed without extracting features from the ISAR image sequence
A 3D geometry reconstruction method for SRST is proposed by utilizing the ISAR image sequence in this paper
Summary
Inverse synthetic aperture radar (ISAR) has found wide applications in space target surveillance and situation perception due to its all-day and all-weather observation and imaging capacity [1–5]. By utilizing the pulse compression and echo coherent accumulation technique, high resolution two-dimensional (2D) ISAR images of space targets can be acquired [6–11]. Since ISAR images are only the projection of three-dimensional (3D). Precise 3D geometry reconstruction of space targets will facilitate space surveillance and situation perception. Many excellent algorithms have been presented to reconstruct the 3D geometry of targets and have shown extremely high performance [12–14]. They cannot be used on ISAR data directly owing to the great differences between ISAR data and others. Combined with the unique 2D imaging ability of ISAR systems, ISAR image sequence-based 3D geometry reconstruction has become a critical research topic
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