Abstract
In multi-targets inverse synthetic aperture radar (ISAR) imaging, range profiles of different target are coupled together, resulting in the failure of traditional mono-target imaging method. A novel multi-targets ISAR imaging method based on particle swarm optimization (PSO) and modified CLEAN technique is proposed in this paper. First, multi-targets are modeled as several separated group-targets in which translational motion of each target is analogous. And then, translational motion of each group-target is modeled as a polynomial, and the polynomial coefficient vector is estimated via the PSO-based iteration. Furthermore, a well-focused image of the group-target can be obtained and extracted via the proposed modified CLEAN technique. Meanwhile, each target can be segmented and extracted based on clustering number estimation and K-means clustering algorithm. Finally, better focused image of each target would be obtained through further traditional mono-target imaging processing. Experimental results verify the validity of the proposed method.
Original language | English |
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Article number | 7268838 |
Pages (from-to) | 97-108 |
Number of pages | 12 |
Journal | IEEE Sensors Journal |
Volume | 16 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jan 2016 |
Externally published | Yes |
Keywords
- clustering algorithm
- Inverse synthetic aperture radar (ISAR)
- modified CLEAN
- multi-targets
- particle swarm optimization (PSO)