Abstract
Inverse synthetic aperture radar (ISAR) has the excellent capacity of generating image of noncooperative target. However, ISAR images are usually degraded due to relative motion between radar and target. In order to improve image quality, motion compensation is indispensable, and range alignment is just the first and key step of translational motion compensation. This paper proposes a sub-integer range alignment method based on minimum entropy, which has high accuracy of range alignment. The simulations are used to test the performance of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | IET International Radar Conference 2013 |
| Edition | 617 CP |
| DOIs | |
| Publication status | Published - 2013 |
| Event | IET International Radar Conference 2013 - Xi'an, China Duration: 14 Apr 2013 → 16 Apr 2013 |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | 617 CP |
| Volume | 2013 |
Conference
| Conference | IET International Radar Conference 2013 |
|---|---|
| Country/Territory | China |
| City | Xi'an |
| Period | 14/04/13 → 16/04/13 |
Keywords
- ISAR
- Minimum entropy
- Range alignment
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Rui, W., Feng, L., & Tao, Z. (2013). Modified sub-integer range alignment based on minimum entropy for ISAR. In IET International Radar Conference 2013 (617 CP ed.). Article 0151 (IET Conference Publications; Vol. 2013, No. 617 CP). https://doi.org/10.1049/cp.2013.0151