Compressed Sensing in Radar Signal Processing, 9781108428293
Hardcover
Radar innovation: Compressive sensing algorithms revolutionize signal processing and radar tech.

Compressed Sensing in Radar Signal Processing

$376.11

  • Hardcover

    378 pages

  • Release Date

    17 October 2019

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Summary

Radar Signal Processing with Compressed Sensing: A Modern Approach

Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar.

Book Details

ISBN-13:9781108428293
ISBN-10:1108428290
Author:Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich
Publisher:Cambridge University Press
Imprint:Cambridge University Press
Format:Hardcover
Number of Pages:378
Release Date:17 October 2019
Weight:890g
Dimensions:253mm x 178mm x 21mm
About The Author

Antonio De Maio

Antonio De Maio is a Professor in the Department of Electrical Engineering and Information Technology at the Università degli Studi di Napoli Federico II, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

Yonina C. Eldar is a Professor at the Weizmann Institute of Science. She has authored and edited several books, including Sampling Theory: Beyond Bandlimited Systems (Cambridge, 2015) and Compressed Sensing: Theory and Applications (Cambridge, 2012). She is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and Eurasip, and a member of the Israel National Academy of Science and Humanities.

Alexander M. Haimovich is a Distinguished Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

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