Synthetic Aperture Radar
Radar, like most well developed areas, has its own vocabulary. Words like Doppler frequency, pulse compression, mismatched filter, carrier frequency, in-phase, and quadrature have specific meaning to the radar engineer. In fact, the word radar is actually an acronym for RAdio Detection And Rang ing...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
1988, 1988
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Edition: | 1st ed. 1988 |
Series: | Signal Processing and Digital Filtering
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Radar Processing
- 1.1 Radar: A Well Defined Problem
- 1.2 Transmitting and Receiving
- 1.3 Digital Processing of Radar Returns
- 1.4 Seasat Radar Processing
- 1.5 Summary of Radar Processing
- 1.6 References
- 1.7 Problems
- 2 Radar Imaging
- 2.1 Restrictions on Antenna Size
- 2.2 Antenna Arrays
- 2.3 Synthetic. Antenna Arrays
- 2.4 Airborne Synthetic Arrays
- 2.5 Matched Filter Interpretation
- 2.6 Model of the Antenna — Target Motion
- 2.7 Doppler Frequency Shift
- 2.8 Digital Implementation Considerations
- 2.9 Seasat Image Reconstruction
- 2.10 Summary of Radar Imaging
- 2.11 References
- 2.12 Problems
- 3 Optical Processing Of SAR Data
- 3.1 Optical Signal Processing
- 3.2 SAR Processor
- 3.3 Response to a Point Target
- 3.4 Holographic Interpretation
- 3.5 Advances in Optical Processing
- 3.6 Summary of Optical Processing Techniques
- 3.7 References
- 3.8 Problems
- 4 Related Algorithms: An Overview
- 4.1 Ultrasonic Inspection—SAFT-UT
- 4.2 Tomography
- 4.3 Spotlight Mode SAR
- 4.4 Inverse SAR
- 4.5 Summary of Related Algorithms
- 4.6 References
- 4.7 Problems
- A Signal Processing Tools
- A.1 Sampling Continuous Time Signals
- A.2 Specifying A Model: Linear Systems
- A.3 The Convolution Representation
- A.4 Fast Convolution with FFTs
- A.5 Summary of Signal Processing Tools
- A.6 References
- A.7 Problems
- B Matched Filter Derivation
- B.1 Problem Definition
- B.2 Optimization: Maximizing the SNR
- B.3 Example Assuming White Noise
- B.4 Summary of Matched Filter Statistics
- B.5 References
- B.6 Problems
- C Matched Filter Implementation
- C.1 Eliminating The Bit Reversal Operation
- C.2 FFT of a Real Valued Sequence
- C.3 Summary of Implementation Considerations
- C.4 References
- C.5 Problems
- D Solutions to Exercises