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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...

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Bibliographic Details
Main Author: Fitch, J. Patrick
Format: eBook
Language:English
Published: New York, NY Springer New York 1988, 1988
Edition:1st ed. 1988
Series:Signal Processing and Digital Filtering
Subjects:
Telecommunication
Communications Engineering, Networks
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

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