Jian Li & Petre Stoica 
MIMO Radar Signal Processing 

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.

Circa l’autore

Jian Li, Ph D, is Professor and Director of the Spectral
Analysis Laboratory of the Department of Electrical and Computer
Engineering at the University of Florida. She has coedited one
book, coauthored one book and four book chapters, and published
approximately 300 refereed technical conference contributions and
journal papers, many of which are on topics related to array signal
processing.

Petre Stoica, Ph D, is Professor of System Modeling in the
Information Technology Department at Uppsala University, Sweden. He
has coedited two books, coauthored nine books, and published
approximately 500 refereed technical conference contributions and
journal papers, many of which are on topics related to array signal
processing.