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Can I read Measurements-Based Radar Signature Modeling: An Analysis Framework (MIT Lincoln Laboratory Series) on EtoBox?
Measurements-Based Radar Signature Modeling: An Analysis Framework (MIT Lincoln Laboratory Series) by Joseph T. Mayhan, John A. Tabaczynski is a nonfiction available to read on EtoBox.
What is Measurements-Based Radar Signature Modeling: An Analysis Framework (MIT Lincoln Laboratory Series) 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 measure
Who reads Measurements-Based Radar Signature Modeling: An Analysis Framework (MIT Lincoln Laboratory Series)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Joseph T. Mayhan, John A. Tabaczynski
- Publisher
- The MIT Press
- Published
- 2024
- Language
- EN
- ISBN
- 9780262048118
- Category
- nonfiction
- Subjects
- Engineering, Stem
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