Novel ISAR Range Alignment via Minimizing the Entropy of the Sum Range Profile
- Resource Type
- Conference
- Authors
- Liu, Yuan; Wang, Lu; Bi, Guoan; Liu, Hongwei; Bi, Hui
- Source
- 2020 21st International Radar Symposium (IRS) Radar Symposium (IRS), 2020 21st International. :135-138 Oct, 2020
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Interpolation
Radar measurements
Radar imaging
Entropy
Parametric statistics
Inverse synthetic aperture radar
Optimization
Inverse synthetic aperture radar (ISAR)
minimum entropy
sum range profile
range alignment
- Language
- ISSN
- 2155-5753
A novel global range alignment technique for inverse synthetic aperture radar (ISAR) imaging is presented in this paper. Instead of requiring the parametric model for the relative offset amongst the range profiles, the alignment is investigated from the viewpoint of optimization, where the minimization of the entropy of the sum range profile (SRP) is employed as the optimization criterion. The precise range alignment within a range cell can be achieved by implementing the proposed algorithm. With respect to the existing global method, the proposed one does not require any interpolation operation and multidimensional search operation. Experimental results based on real measured data of maritime non-cooperative target validate the effectiveness and the efficiency of the proposed algorithm.