{"product_id":"measurementsbased-radar-signature-modeling-isbn-9780262048118","title":"Measurements-Based Radar Signature Modeling","description":"\u003cb\u003eA 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.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eThe 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.\u003cbr\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eThe first systematic, comprehensive synthesis of wide-ranging research areas for characterizing targets from radar data \u003c\/li\u003e\n\u003cli\u003eA deeply researched, lucid presentation enriched by extensive illustrations and examples \u003c\/li\u003e\n\u003cli\u003eAn essential reference for experts in radar and signal processing, professional engineers in related fields, and graduate students\u003c\/li\u003e\n\u003c\/ul\u003ePreface\u003cbr\u003eIntroduction\u003cbr\u003ePART I BACKGROUND, SIGNAL MODELS, AND PROCESSING TOOLS\u003cbr\u003e1 Background\u003cbr\u003e2 Target Signature Modeling and the Role of Sequential Estimation Processing\u003cbr\u003e3 Acceleration Estimation: Extending the All-Pole Model\u003cbr\u003e4 Autocorrelation Measures and Signal Coherence\u003cbr\u003e\u003cbr\u003ePART II THE JOINT TARGET-MOTION ESTIMATION PROBLEM\u003cbr\u003e5 A Solution Framework for the Joint Target-Motion Estimation Problem \u003cbr\u003e6 Narrowband Signature Modeling Techniques\u003cbr\u003e7 Interferrometric ISAR\u003cbr\u003e8 Motion Estimation Techniques\u003cbr\u003e9 Joint Motion and 2D\/3D Characterization of Tumbling Targets\u003cbr\u003e10 Joint Target-Motion Solution from Range-Only Data\u003cbr\u003e\u003cbr\u003ePART III DATA EXTRAPOLATION AND SENSOR FUSION PROCESSING\u003cbr\u003e11 Multisensor Fusion and Mutual Coherence\u003cbr\u003e12 Data Extrapolation and the Composite Target Space Mapping\u003cbr\u003e13 Colocated Sensors: Sparse Frequency Band Processing\u003cbr\u003e14 Signature Modeling Using Sparse Angle Data\u003cbr\u003e\u003cbr\u003ePART IV MEASUREMENTS-BASED RCS SIGNATURE MODELING\u003cbr\u003e15 An Integrated Predictive\/Measurements-Based RCS Signature Model\u003cbr\u003e16 Component Modeling Using Measurement Data\u003cbr\u003e\u003cbr\u003eAcknowledgments\u003cbr\u003eAppendix A: Characterization of Torque-Free Euler Rotational Motion\u003cbr\u003eAppendix B: 2D Spectral Estimation: A State-Space Approach\u003cbr\u003eAppendix C: 2D Spectral Estimation: An ESPRIT Approach\u003cbr\u003eAppendix D: Location Estimation Using Target Space Filters for {Rn, Rn} Observables\u003cbr\u003eAppendix E: Acceleration Estimation MATLAB Code and Input Parameters\u003cbr\u003eAppendix F: Integrating Static Range and Field Test Measurements into a Computational, Measurements-Based Signature Model\u003cbr\u003eAppendix G: A Polynomial Filter Estimate of Scattering Center Acceleration\u003cbr\u003eReferences\u003cbr\u003eContributors\u003cbr\u003eAbout the Authors\u003cbr\u003eIndex\u003cb\u003eJoseph T. Mayhan \u003c\/b\u003eis 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. \u003cbr\u003eThe late\u003cb\u003e John A. Tabaczynski \u003c\/b\u003eserved as Assistant, Associate, and then Leader of the Ballistic Missile Defense Analysis division at MIT Lincoln Laboratory, where he worked for over fifty years.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46301445521637,"sku":"NP9780262048118","price":125.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262048118.jpg?v=1767732480","url":"https:\/\/k12savings.com\/products\/measurementsbased-radar-signature-modeling-isbn-9780262048118","provider":"K12savings","version":"1.0","type":"link"}