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MIMO Radar Signal Processing [Hardcover]

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  • Category: Books (Technology & Engineering)
  • Author:  Li, Jian, Stoica, Petre
  • Author:  Li, Jian, Stoica, Petre
  • ISBN-10:  0470178981
  • ISBN-10:  0470178981
  • ISBN-13:  9780470178980
  • ISBN-13:  9780470178980
  • Publisher:  Wiley-IEEE Press
  • Publisher:  Wiley-IEEE Press
  • Pages:  448
  • Pages:  448
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2008
  • Pub Date:  01-May-2008
  • SKU:  0470178981-11-MPOD
  • SKU:  0470178981-11-MPOD
  • Item ID: 100224159
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Dec 29 to Dec 31
  • Notes: Brand New Book. Order Now.
The first book to present a systematic and coherent picture of MIMO radars

Due to its potential to improve target detection and discrimination capability, Multiple-Input and Multiple-Output (MIMO) radar has generated significant attention and widespread interest in academia, industry, government labs, and funding agencies. This important new work fills the need for a comprehensive treatment of this emerging field.

Edited and authored by leading researchers in the field of MIMO radar research, this book introduces recent developments in the area of MIMO radar to stimulate new concepts, theories, and applications of the topic, and to foster further cross-fertilization of ideas with MIMO communications. Topical coverage includes:

  • Adaptive MIMO radar

  • Beampattern analysis and optimization for MIMO radar

  • MIMO radar for target detection, parameter estimation, tracking,association, and recognition

  • MIMO radar prototypes and measurements

  • Space-time codes for MIMO radar

  • Statistical MIMO radar

  • Waveform design for MIMO radar

Written in an easy-to-follow tutorial style, MIMO Radar Signal Processing serves as an excellent course book for graduate students and a valuable reference for researchers in academia and industry.

PREFACE.

CONTRIBUTORS.

1 MIMO Radar — Diversity Means Superiority (Jian Li and Petre Stoica).

1.1 Introduction.

1.2 Problem Formulation.

1.3 Parameter Identifiability.

1.4 Nonparametric Adaptive Techniques for Parameter Estimation.

1.5 Pals8

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