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Ul-Ann, Qurat: Bistatic synthetic aperture radar processingVerarbeitung bistatischer SAR-Daten. 2014
Inhalt
Acknowledgement
Abstract
Kurzfassung
Index of Contents
List of Figures
List of Tables
List of Acronyms
List of Symbols
1 Introduction and Historical Background
1.1 Synthetic Aperture Radar
1.1.1 SAR Advantages and Applications
1.2 SAR Principle
1.2.1 SAR Resolution
1.3 Bistatic SAR
1.4 SAR Modes
In scan SAR mode, a wider range swath is imaged as compared to the stripmap SAR. During data intake, antenna is scanned in range several times which is achieved by periodically shifting the antenna beam to neighboring sub swaths, as shown in Figure 4....
The sliding SAR mode is a combination of stripmap and spotlight as shown in Figure 6. In this mode, antenna’s footprint slides over the Earth’s surface with accelerated or reduced footprint velocity with respect to the platform’s velocity (aircraft or...
The Interferometric SAR (InSAR) provides an opportunity for obtaining 3D SAR images. They are obtained by combining two or more coherent images of the same scene taken by two antennas with slightly different observation angles and exploring the phase ...
1.5 Spaceborne SAR Missions
1.6 SAR Processing
1.7 Structure of the Thesis
2 Bistatic Point Target Reference Spectrum
2.1 Introduction
2.2 Bistatic SAR Geometry
2.3 Bistatic SAR Signal Model
2.4 Bistatic Point Target Response
2.5 Bistatic Point Target Reference Spectrum
2.6 Optimum Weighting Factor
2.6.1 Simulation Results
2.6.2 Difference between Common and Individual Point of Stationary Phase of the Transmitter
2.6.3 Difference between Common and Individual Point of Stationary Phase of the Receiver
2.6.4 Comparison of Time Bandwidth Product and Weighting Factor
2.7 Conclusions
3 Validity Constraints
3.1 Introduction
3.2 Derivation of Validity Constraints for Bistatic Point Target Reference Spectrum
3.2.1 First Validity Constraint
3.2.2 Second Validity Constraint
3.3 Performance Analysis of Validity Constraints for Bistatic SAR Configurations
3.3.1 Tandem Configurations
3.3.1.1 Validity constraints
3.3.1.2 Simulation Results
3.3.2 Translational Invariant Configurations
3.3.2.1 Validity Constraints
3.3.2.2 Simulation Results
3.3.3 Hybrid Configurations
3.3.3.1 Validity Constraints
3.3.3.2 Simulation Results
3.4 Some Considerations on Validity Constraints
3.4.1 First Validity Constraint for Transmitter
3.4.1.1 Case A:
3.4.1.2 Case B:
3.4.1.3 Simulation Results:
3.4.2 First Validity Constraint for Receiver
3.4.2.1 Case A:
3.4.2.2 Case B:
3.4.2.3 Simulation Results:
3.4.3 Second Validity Constraint for Transmitter
3.4.3.1 Simulation Results:
3.4.4 Second Validity Constraint for Receiver
3.4.4.1 Simulation Results:
3.4.5 Comparison of Results
3.5 Determining Unequal Azimuth Contribution of Transmitter and Receiver Phase Terms Based on Validity Constraints
3.5.1 Transmitter constraint
3.5.2 Receiver Constraint
3.5.3 Simulation Results
3.6 Conclusions
4 General Focusing Algorithm for Different Bistatic SAR Configurations
4.1 Introduction
4.2 Frequency Domain Focusing of a Complete Scene
4.3 Focusing Algorithm for Bistatic SAR Configurations
4.4 Focusing Results of Azimuth Invariant Configurations
4.4.1 Bistatic Airborne Experiment
4.4.2 Results and Comparison
4.5 Focusing Results of Azimuth Variant Configurations
4.5.1 Hybrid Experiment 1
4.5.1.1 Preprocessing of Raw Data
4.5.1.1.1 Correction of Drift in Raw Data
4.5.1.1.2 Unfolding of azimuth spectrum
4.5.1.2 Focusing Results
4.5.2 Hybrid Experiment 2
4.6 Conclusions
5 Stationary Receiver Configurations
5.1 Introduction
5.2 Geometrical Model
5.3 Hardware Implementation and Data Acquisition
5.4 Bistatic Point Target Reference Spectrum
5.5 Focusing Algorithm
5.6 Experimental Results
5.6.1 Experiment 1
5.6.2 Experiment 2
5.6.3 Interferometric Experiment
5.7 Conclusions
6 Summary and Conclusions
Appendix A: Detailed Derivation for Bistatic Point Target Reference Spectrum
A.1 Receiver Phase Terms
A.2 Transmitter Phase Terms
Appendix B: Quality Measuring Parameters
B.1 Impulse Response Width
B.2 Integrated Side Lobe Ratio
B.3 Peak Side Lobe Ratio
Appendix C: Scaled Inverse Fourier Transformation
References