Experimental Demonstration of Bistatic Radar Tomography using Parameter-Refined OMP
- Resource Type
- Conference
- Authors
- Nguyen, Ngoc Hung; Tran, Hai-Tan; Berry, Paul E.; Dogancay, Kutluyil
- Source
- 2019 International Radar Conference (RADAR) Radar Conference (RADAR),2019 International. :1-6 Sep, 2019
- Subject
- Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Radar tomography
sparse reconstruction
compressive sensing
Parameter-Refined Orthogonal Matching Pursuit
high-resolution narrowband radar imaging
- Language
- ISSN
- 2640-7736
This paper considers the problem of bistatic radar tomographic imaging within the framework of sparse reconstruction and compressive sensing. The bistatic radar tomography problem is first reformulated as a sparse inverse problem and the Parameter-Refined Orthogonal Matching Pursuit algorithm is then derived to obtain a sparse solution. Numerical results obtained for experimental data are presented to demonstrate the efficacy of the method.