Measurements-Based Radar Signature Modeling: An Analysis Framework

Author:   Joseph T. Mayhan ,  John A. Tabaczynski
Publisher:   MIT Press Ltd
ISBN:  

9780262048118


Pages:   512
Publication Date:   14 May 2024
Format:   Hardback
Availability:   To order   Availability explained
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Measurements-Based Radar Signature Modeling: An Analysis Framework


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Overview

A high-level text that synthesizes diverse research areas for characterizing objects (targets) from radar data and establishes a novel analysis framework for a class of signal processing techniques useful for high-resolution radar signature modeling. A high-level text that synthesizes diverse research areas for characterizing objects (targets) from radar data and establishes a novel analysis framework for a class of signal processing techniques useful for high-resolution radar signature modeling. The only text to integrate a diverse body of work on characterizing objects (targets) from radar data into a common analysis framework, this book brings together the results of research papers and technical reports providing improved resolution and precision in radar target signature modeling and target motion solutions. It offers comprehensive coverage related to basic radar concepts, signal representation, and radar measurements; the development of advanced analysis tools essential for high-resolution signature modeling; the development of novel wideband and narrowband radar imaging techniques; the application of 2D spectral estimation theory to wideband signal processing; ultra-wideband scattering phenomenology and sparse-band sensor data fusion; and the integration of field measurements into the radar signature modeling process. The analysis techniques developed in the text provide the framework for a novel approach, called measurements-based modeling (MBM), to model target signatures by incorporating measurement data into the signature model of the target. Extensive examples throughout compare the performance of the new techniques with that of conventional analysis techniques. The first systematic, comprehensive synthesis of wide-ranging research areas for characterizing targets from radar data A deeply researched, lucid presentation enriched by extensive illustrations and examples An essential reference for experts in radar and signal processing, professional engineers in related fields, and graduate students

Full Product Details

Author:   Joseph T. Mayhan ,  John A. Tabaczynski
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Weight:   0.567kg
ISBN:  

9780262048118


ISBN 10:   0262048116
Pages:   512
Publication Date:   14 May 2024
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Preface Introduction PART I BACKGROUND, SIGNAL MODELS, AND PROCESSING TOOLS 1 Background 2 Target Signature Modeling and the Role of Sequential Estimation Processing 3 Acceleration Estimation: Extending the All-Pole Model 4 Autocorrelation Measures and Signal Coherence PART II THE JOINT TARGET-MOTION ESTIMATION PROBLEM 5 A Solution Framework for the Joint Target-Motion Estimation Problem  6 Narrowband Signature Modeling Techniques 7 Interferrometric ISAR 8 Motion Estimation Techniques 9 Joint Motion and 2D/3D Characterization of Tumbling Targets 10 Joint Target-Motion Solution from Range-Only Data PART III DATA EXTRAPOLATION AND SENSOR FUSION PROCESSING 11 Multisensor Fusion and Mutual Coherence 12 Data Extrapolation and the Composite Target Space Mapping 13 Colocated Sensors: Sparse Frequency Band Processing 14 Signature Modeling Using Sparse Angle Data PART IV MEASUREMENTS-BASED RCS SIGNATURE MODELING 15 An Integrated Predictive/Measurements-Based RCS Signature Model 16 Component Modeling Using Measurement Data Acknowledgments Appendix A: Characterization of Torque-Free Euler Rotational Motion Appendix B: 2D Spectral Estimation: A State-Space Approach Appendix C: 2D Spectral Estimation: An ESPRIT Approach Appendix D: Location Estimation Using Target Space Filters for {Rn, Rn} Observables Appendix E: Acceleration Estimation MATLAB Code and Input Parameters Appendix F: Integrating Static Range and Field Test Measurements into a Computational, Measurements-Based Signature Model Appendix G: A Polynomial Filter Estimate of Scattering Center Acceleration References Contributors About the Authors Index

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Author Information

Joseph T. Mayhan is a Senior Staff Member at MIT Lincoln Laboratory, where he has worked for fifty years, formerly as Group Leader of the Sensor Systems and Measurements Group. The late John A. Tabaczynski served as Assistant, Associate, and then Leader of the Ballistic Missile Defense Analysis division at MIT Lincoln Laboratory, where he worked for over fifty years.

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