Abstract
Earth-based radar plays a critical role in high-resolution asteroid imaging. However, traditional methods often suffer from range-azimuth defocusing due to the rapid translational and complex rotational motion of asteroids. Moreover, integration across subapertures is required to improve the signal-to-noise ratio (SNR), which in turn demands accurate surface topography information. To this end, this article proposes a novel high-resolution asteroid imaging method based on joint estimation of motion and topography. First, accurate translational parameters are estimated to mitigate the pulse-scale stretching effect (PSSE), thereby improving range focusing performance. A coarse-to-fine estimation for rotational parameters is then performed, starting with an initial estimate based on image-domain quality metrics, followed by aggregating information from multiple feature points to jointly estimate refined rotational parameters and local elevations. Finally, a coarse surface topography is reconstructed from the estimated elevations to support subaperture integration, resulting in a high-resolution image with enhanced SNR. The effectiveness of the proposed method is demonstrated through simulations and validated experimentally in a controlled microwave anechoic chamber.
| Original language | English |
|---|---|
| Article number | 5100614 |
| Journal | IEEE Transactions on Geoscience and Remote Sensing |
| Volume | 64 |
| DOIs | |
| Publication status | Published - 2026 |
Keywords
- Asteroid imaging
- Earth-based radar
- pulse-scale stretching effect (PSSE)
- rotational parameters estimation
- translational motion compensation
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