학술논문

One-dimensional model-based approach for ISAR imaging
Document Type
Conference
Source
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Geoscience and remote sensing Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International. 1:4 pp. 2005
Subject
Geoscience
Signal Processing and Analysis
Radar scattering
Radar imaging
Frequency
High-resolution imaging
Image resolution
Sparse matrices
Scattering parameters
Reflectivity
Doppler radar
Data mining
Language
ISSN
2153-6996
2153-7003
Abstract
In this paper, we extend the estimation of scattering centre parameters to the case of ISAR imaging. The representation of a target by a set of individual scattering centres has shown promising results for applications where high resolution is needed (high-resolution imaging, classification, NCTR). In practice, methods extract time-delay and amplitude parameters associated with strong scattering sources from complex-valued reflectivity samples in the frequency domain. The principle has been successfully applied with samples from one or several segments. We show that a one-dimensional model can be used to create a two-dimensional ISAR image. After presenting the principle of ISAR matrix data collection and processing, we propose two methods for building the ISAR model matrix. We show that the technique processing the Doppler information first is more suitable for building ISAR-Model. As an example, we consider the case of a corrupted data matrix, which can be restored by coherently processing sparse sub-bands. Samples from a simulated Mig25 are used to illustrate the technique.