Fundamentals of Radar Signal Processing by Mark A. Richards

Fundamentals of Radar Signal Processing






Fundamentals of Radar Signal Processing Mark A. Richards ebook
Format: pdf
Publisher: McGraw-Hill
ISBN: 0071444742, 9780071444743
Page: 539


Radar Cross Section (Scitech Radar and Defense) by Eugene F. Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing Using MATLAB® provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal processing with companion MATLAB® code. In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Signal Processing Fundamentals and Applications for Communications and Sensing Systems 2002 | ISBN: 1580533604 | 324 pages | PDF | 2.7 MB This cutting-edge book is a clear and thorough expo. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Fundamentals of Radar Signal Processing, Second Edition book download Mark A. This rigorous text provides in-depth coverage of radar signal processing from a DSP perspective, filling a gap in the literature. It covers digital filtering and parameter estimation, and helps you with problems associated with radar system design, including search, tracking and measurement ambiguity. This final volume of Kay's three-volume guide Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring. Signal Processing in Radar Systems Publisher: C R C | 2012 | PDF | ISBN: 1439826072 | 632 pages | 17.4 Mb An essential task in radar systems is to find an appropriate solution to the problem. The book describes the fundamental signal processing techniques that enable radar engineers to "design in" desired characteristics to the radar signal. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers.

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