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Three-Dimensional Electromagnetic Model-Based Pose Estimation Using Fully Polarimetric Wideband Radar
- Source :
- IEEE Geoscience and Remote Sensing Letters. 13:1054-1058
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- The pose of a rotational symmetry target in a wideband radar is the angle between its symmetry axis and the radar line of sight. It is a required parameter for target absolute attitude measurement using the bistatic radar measuring system. In this letter, a 3-D electromagnetic model (3-D EM model)-based method is proposed for estimating the target pose from fully polarimetric wideband radar measurements. The 3-D EM model is established offline based on the target geometric structure. Scattering features at different target poses can be accurately predicted by this model. In the proposed algorithm, a synthetic high-resolution range profile (HRRP), which is proved to be only related to the target pose, is first generated from the sum of echoes in radar copolarization channels. Then, by matching this synthetic HRRP with the synthetic HRRPs recovered by the 3-D EM model, the target pose is obtained. Experiments using both data predicted by a high-frequency electromagnetic code and data measured in an anechoic chamber verify the validity of the method.
- Subjects :
- Early-warning radar
Computer science
0211 other engineering and technologies
Polarimetry
02 engineering and technology
law.invention
Radar engineering details
law
Radar imaging
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Radar remote sensing
Radar
Radar horizon
021101 geological & geomatics engineering
Remote sensing
Scattering
Pulse-Doppler radar
020206 networking & telecommunications
Side looking airborne radar
Geotechnical Engineering and Engineering Geology
Radar lock-on
Continuous-wave radar
Inverse synthetic aperture radar
Bistatic radar
3D radar
Radar configurations and types
Algorithm
Subjects
Details
- ISSN :
- 15580571 and 1545598X
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- IEEE Geoscience and Remote Sensing Letters
- Accession number :
- edsair.doi...........2cfb07d283dae1ef553e727680094b1f