Learn the newest processing techniques for focusing radar images with this important new book. It helps you master the SAR/ISAR fundamentals that are critical to understanding motion compensation and advanced SAR/ISAR imaging techniques, and gives you the background you need to tackle problems such as estimating motion parameters by phase analysis, compensating the phase of a wideband signal, and processing a wideband signal into a radar image. In 14 chapters, with over 100 illustrations and nearly 300 equations, the authors introduce, develop and test methods for estimating the motion parameters of a target, and present an integrated approach for generating focused radar images of multiple moving targets illuminated by a radar beam. Focusing on motion compensation of radar images, the book examines the development of filtering and reconstruction processes that allow for individual target motion compensation, discusses the implementation of this approach using the Gabor wavelet transform, and incorporates image enhancement techniques for the generation and identification of simulated and real aircraft images that cannot be obtained using conventional radar processors.
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. SteppedFrequency 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 ManMade Target.; CramerRao Bound For ISAR Motion Estimation: CramerRao Bound For Range Estimation. CramerRao Bound For Velocity Estimation. CramerRao 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 ShortTime Fourier Transform: The Continuous ShortTime Fourier Transform. The Discrete ShortTime Fourier Transform. Parallel Processing Of The STFT. STFT Synthesis Using The OverlapAdd Method. OverlapAdd 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 TimeVarying Filter. Binary Mask Formation. Maximum Likelihood Estimation Of Weibull Parameters. Weibull Parameter Estimation Via Method Of Moments. Weibull Parameter Estimation Via Menon¬ps 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. OneDimensional 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.;

Benjamin C. Flores
Benjamin C. Flores is an associate professor in the Electrical and Computer Engineering Department at the University of Texas at El Paso. He holds an M.S. in Electrical Engineering from The University of Texas at El Paso and a Ph.D. in Electrical Engineering from Arizona State University.

Jae Sok Son
Jae Sok Son is an assistant professor in the Electrical and Computer Engineering Department at The University of Texas at El Paso.

Gabriel Thomas
Gabriel Thomas is an assistant professor in the department of Electrical and Computer Engineering at the University of Manitoba. He holds an M.S. and a Ph.D. in Computer Engineering from the University of Texas at El Paso.