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Technical Session 4: Synthetic Aperture Radar- Cochair: Dr. Marshall Greenspan, Northrop Grumman
- Cochair: Dr. David Zasada, MITRE Corp.
Tuesday Afternoon April 23, 2002
- 4.1:
- SAR-MTI Processing of Multi-Channel Airborne Radar Measurement (MCARM) Data
- 4.2:
- An Improved RDM Method Specially Useful for Low Cost SAR High Squint Processing
- 4.3:
- Performance Analysis of a Contrast-Based ISAR Autofocusing Algorithm
- 4.4:
- Automatic Ship Identification in ISAR Imagery: An On-line System using CMSM
4.1 SAR-MTI Processing of Multi-Channel Airborne Radar Measurement (MCARM) Data
By: Mehrdad Soumekh
State University of New York at Buffalo
and: Braham Himed
AFRL, Sensors Directorate | Abstract: This paper addresses the problem of developing signal processing, moving target detection, and image formation algorithms, for an airborne array radar system, called Multi-Channel Airborne Radar Measurement (MCARM), developed by the Air Force Research Laboratory at Rome, New York. Our approach is based on interpreting the MCARM data via a multi-channel SAR system. SAR imaging and blind calibration of a dual along-track SAR-MTI system are then used for the MCARM data. |
4.2 An Improved RDM Method Specially Useful for Low Cost SAR High Squint Processing
By: Juan Carlos Crespo and Julio Gutierrez
Universidad Politecnica de Madrid | Abstract: A new squint dependent formulation of the known Reflectivity Displacement Method (RDM) for motion error extraction is presented. This new formulation extends RDM applicability under high squint angles with a negligible computational overload. The data obtained is suitable for high quality Synthetic Aperture Radar (SAR) Processing with motion compensation avoiding the use of expensive Inertial Navigation System (INS) and GPS systems for many applications. |
4.3 Performance Analysis of a Contrast-Based ISAR Autofocusing Algorithm
By: F. Berizzi, E. Dalle Mese, and M. Martorella
University of Pisa, Italy | Abstract: ISAR image technique is a well-consolidated method for target image reconstruction. One of the main critical steps of the technique is motion compensation. This operation consists in removing from the received signal a phase term due to the translation motion of the target. As the target motion is not a priori known, motion parameters are typically estimated from the received data by means of autofocusing techniques. Different techniques are proposed in literature. Their effectiveness is demonstrated by showing the results obtained by applying the algorithms on real and simulated data, without giving a quantitative analysis of their performance. The goal of this work is to analyze the performance of an image contrast-based ISAR autofocusing technique developed by the authors. The results will be provided in terms of the statistics of the focusing parameter estimate errors. |
4.4 Automatic Ship Identification in ISAR Imagery: An On-line System using CMSM
By: Atsuto Maki, Kazuhiro Fukui, Yasuhiko Kawawada, and Motohito Kiya
Toshiba Corporation | Abstract: We have developed an on-line system, which automatically identifies ships observed in a rapidly updating sequence of range-Doppler images produced by inverse synthetic aperture radar (ISAR). In the system, in order to cope with the invariable noise due to the physics of imaging, we propose to employ a multiframe image-processing algorithm, which extracts profiling as a basic feature reflecting the entire characteristics of a target. For ship identification, representing the extracted profiles as high-dimensional vectors; we adapt the vector analysis using the recently proposed Constrained Mutual Subspace Method (CMSM). The system currently works on an ordinary PC at 5 frames / sec and achieves feasible performance of identification. The system is verified using simulated data. |
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