Abstract
For Inverse Synthetic Aperture Radar (ISAR) imaging of target with moderate maneuverability, the received signal in a range bin can be characterized as multi-component linear frequency modulated (LFM) signal. In this paper, we find that the chirp rate of the LFM signal is proportional to the cross-range coordinate of the corresponding scatterer when the range effect has been compensated completely. Then, a novel ISAR imaging algorithm, named as Range-Chirp Rate (RCR), is proposed in this paper, which only uses the chirp rates to form the cross-range image. After that, two key problems in the RCR imaging process, including the selection of the adjustment factor and the image distortion compensation, are derived consequently. Finally, the solutions for the problems are proposed, and the corresponding cross-range scaling method for the RCR ISAR image is proposed simultaneously. Results of simulated and real measured data demonstrate the effectiveness of the method in this paper.
| Original language | English |
|---|---|
| Article number | 9069175 |
| Pages (from-to) | 9124-9131 |
| Number of pages | 8 |
| Journal | IEEE Sensors Journal |
| Volume | 20 |
| Issue number | 16 |
| DOIs | |
| State | Published - 15 Aug 2020 |
Keywords
- Cross-range scaling
- inverse synthetic aperture radar (ISAR)
- range-chirp rate (RCR) imaging
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