Range-Doppler radar imaging and motion compensation
Author(s)
Bibliographic Information
Range-Doppler radar imaging and motion compensation
(The Artech House radar library)
Artech House, 2000
Available at 8 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
This text explores processing techniques for focusing radar images. It offers to help the user master the SAR/ISAR fundamentals that are critical to understanding motion compensation and advanced SAR/ISAR imaging techniques, and also presents the background you need to tackle problems such as estimating motion parameters by phase analysis, compensating the phase of a wide-band signal, and processing a wideband signal into a radar image. The accompanying diskette, written in MATLAB, allows the user to simulate implementation of the techniques presented in the book, and to make modifications to the simulations to facilitate the understanding of these techniques. The system requirements for running the disk are: IBM-compatible PC with 2 MB disk space.
Table of Contents
Preface. Introduction: Focal Quality Indicators. Motion Compensation Using Phase Method. Rotational Motion Compensation. Selective Motion Compensation Technique. Sidelobe Apodization. ISAR Concepts: ISAR Data Collection And Resolution. ISAR Geometry. Data Collection Method. ISAR Slant Range And Cross Range Resolution. Stepped-Frequency ISAR Processing. ISAR Image Formation. Range Walk And Range Offset. Motion Compensation. ISAR Imaging Of A Point Target. Entropy Measurement. Definition Of Entropy. Image Entropy. Burst Derivative: Definition Of Fisher Information. Fisher Information For Motion Compensation. Burst Derivative As A Function Of Motion Estimates. Velocity Estimation Error. Acceleration Estimation Error. Dependence On Radar Parameters. Additive Noise. Phase Difference Method: Phase Of Target Response. Phase Difference Concepts. Phase Difference Algorithm. Phase Difference As A Function Of Motion Estimates. Velocity Estimation Error. Acceleration Estimation Error. Application Of Phase Difference Method. Least Squares Motion Parameter Estimation. General Least Squares Problem. Application Of Least Squares To ISAR Motion Compensation. Complex Analysis Of ISAR Signature: Noise Supression For Phase Slope Measurement. Noise Supression Using CFAR Filtering. Complex Analysis Of Point Scatterer. One Point Scatterer Case. Two Point Scatterer Case. Results Of Complex Analysis For A Man-Made Target. Cramer-Rao Bound For ISAR Motion Estimation: Cramer-Rao Bound For Range Estimation. Cramer-Rao Bound For Velocity Estimation. Cramer-Rao Bound For Acceleration Estimation. Monte Carlo Simulations. Weighted Least Squares For ISAR Motion Compensation: Least Squares For Unevenly Spaced Data. Weighting Matrix. Weighted Least Squares Fitting. Focal Quality Indicator Using Weighted Least Squares. Motion Compensation Algorithm Via Weighted Least Squares. Simulation Of Point Scatterers. Application To A Point Target. Comparison Of Weighted Least Squares And Entropy Results. Signal Analysis And Synthesis Using The Short-Time Fourier Transform: The Continuous Short-Time Fourier Transform. The Discrete Short-Time Fourier Transform. Parallel Processing Of The STFT. STFT Synthesis Using The Overlap-Add Method. Overlap-Add Method For Inverse STFT Calculation. Overlap Value For Optimum Reconstruction Using The Inverse STFT. Reconstruction Using The Hamming Window. Selective Motion Compensation: Definition Of The Time-Varying Filter. Binary Mask Formation. Maximum Likelihood Estimation Of Weibull Parameters. Weibull Parameter Estimation Via Method Of Moments. Weibull Parameter Estimation Via Menon?s Method. Example Of Weibull Parameter Estimation. Threshold For Defining The Preliminary Binary Filter. Filter Enhancement. Filter Labeling. Algorithm Description And Examples. Image Enhancement Using The Gabor Wavelet Transform: Problem Statement. Matched Filter Processing. Coherent Processing And Image Formation. Optimum Integration Time. Application Of The Gabor Wavelet Transform To ISAR Imaging. Selection Of Gabor Function Parameters. Imaging Of Multiple Moving Targets. Introduction To Rotational Motion Compensation: Polar Format Sampling. Interpolation As A Means For ISAR Imaging Focusing. Interpolation Methods For Rotational Motion Compensation: Introduction To Interpolation Methods. Approximation Methods. Nearest Neighbor Approximation. Euclidean Approximation. One-Dimensional Models. Linear Interpolation. Cubic Spline Interpolation. Shannon Reconstruction. Interpolation Algorithm For ISAR. Weighted Integration Techniques. Airy Pattern Kernel. Spatial Domain Reconstruction. Image Enhancement Via Sidelobe Apodization: Sidelobe Apodization. Joint Spatially Variant Apodization. Parametric Windows. Proposed Methodology. References.
by "Nielsen BookData"