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A High-Precision Method of Phase-Derived Velocity Measurement and Its Application in Motion Compensation of ISAR Imaging
- Source :
- IEEE Transactions on Geoscience and Remote Sensing. 56:60-77
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- The existing methods for motion compensation in inverse synthetic aperture radar (ISAR) imaging are generally limited to the low-order target motion model, and require iterative optimization with limited velocity estimate precision and heavy computational burdens. This paper proposes a high-precision method of phase-derived velocity measurement (PDVM) and applies it to motion compensation of ISAR imaging. The method applies PDVM based on range profiles cross correlation to the translational velocity estimation of targets, and converts the velocity measurement results to the corresponding range increment. The equivalent phase-derived range measurement precision can reach the order of magnitude of millimeter (mm) or even sub-mm, which can satisfy the precision requirements of both envelope alignment and phase adjustment. The key to realizing PDVM is resolving phase ambiguity. The traditional method for resolving ambiguity has very high requirements for the signal-to-noise ratio (SNR). This work resolves ambiguity by combining multiframe data, i.e., by resolving ambiguity of multiframe data simultaneously instead of resolving ambiguity of single-frame data independently and correcting the above ambiguity-resolving results using a minimum-entropy method. Therefore, phase ambiguity can be correctly resolved under a relatively low SNR. Experimental results of an ISAR imaging of an airplane show that the method proposed in this paper can obtain high-quality ISAR imagery, and can efficiently realize robust imaging under the conditions of low SNR.
- Subjects :
- Motion compensation
Cross-correlation
Scattering
Computer science
media_common.quotation_subject
0211 other engineering and technologies
Phase (waves)
020206 networking & telecommunications
02 engineering and technology
Ambiguity
Inverse synthetic aperture radar
Signal-to-noise ratio
Signal-to-noise ratio (imaging)
Radar imaging
0202 electrical engineering, electronic engineering, information engineering
General Earth and Planetary Sciences
Electrical and Electronic Engineering
Envelope (radar)
Velocity measurement
Algorithm
021101 geological & geomatics engineering
media_common
Subjects
Details
- ISSN :
- 15580644 and 01962892
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Accession number :
- edsair.doi...........905475680e45c11490ee5105513283a8