Abstract
Due to complex motion of translational motion (TM) and three-dimensional rotational motion (RM) co-exits for noncooperative targets, existing inverse synthetic aperture radar (ISAR) imaging approaches cannot produce satisfactory performance, especially under low signal-to-noise ratio (SNR). Therefore, an efficient inverse synthetic aperture radar (ISAR) imaging approach for non-cooperative targets is proposed in this work. First, the imaging geometry and signal model are reasonably established based on the highly maneuvering characteristic for non-cooperative targets. Second, based on the signal model, the resolution in range dimension and azimuth dimension, the time-variant Doppler frequency, the selection of pulse repetition frequency (PRF), and the non-stationary IPP are theoretically analyzed. Furthermore, aiming to the time-variant characteristic of echo signal, the smooth pseudo Wigner-Ville distribution (SPWVD) method is utilized to ISAR imaging for non-cooperative targets. Finally, both simulated and electromagnetic data validate the effectiveness of the signal model.
Original language | English |
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Pages (from-to) | 3464-3470 |
Number of pages | 7 |
Journal | IET Conference Proceedings |
Volume | 2023 |
Issue number | 47 |
DOIs | |
Publication status | Published - 2023 |
Event | IET International Radar Conference 2023, IRC 2023 - Chongqing, China Duration: 3 Dec 2023 → 5 Dec 2023 |
Keywords
- Inverse synthetic aperture radar (ISAR) imaging
- Non-cooperative targets
- Non-stationary image projection plane (IPP)
- Smooth pseudo
- Wigner-Ville distribution (SPWVD)