Measurements-Based Radar Signature Modeling An Analysis Framework

Measurements-Based Radar Signature Modeling An Analysis Framework by Joseph T. Mayhan, published by MIT Press on May 14, 2024, is a comprehensive text that synthesizes various research areas focused on characterizing objects from radar data. This edition spans 512 pages and is presented in English. The book establishes a novel analysis framework for signal processing techniques that enhance high-resolution radar signature modeling, integrating findings from research papers and technical reports to improve resolution and precision in radar target signature modeling.
Readers will find a thorough exploration of fundamental radar concepts, signal representation, and radar measurements, alongside advanced analysis tools crucial for high-resolution signature modeling. The text covers innovative wideband and narrowband radar imaging techniques, the application of 2D spectral estimation theory, and the integration of field measurements into the radar signature modeling process. The analysis techniques introduced, particularly measurements-based modeling (MBM), aim to incorporate measurement data into target signature models, providing a systematic approach to radar data analysis. This book serves as a valuable resource for experts in radar and signal processing, as well as professional engineers and graduate students in related fields.
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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
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