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Measurements-Based Radar Signature Modeling

An Analysis Framework

Part of MIT Lincoln Laboratory Series

Author Joseph T. Mayhan, John A. Tabaczynski
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Hardcover
$125.00 US
The MIT Press
On sale May 14, 2024 | 512 Pages | 9780262048118
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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
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
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.
Joseph T. Mayhan View titles by Joseph T. Mayhan
John A. Tabaczynski View titles by John A. Tabaczynski

About

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

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

Author

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.
Joseph T. Mayhan View titles by Joseph T. Mayhan
John A. Tabaczynski View titles by John A. Tabaczynski

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