MIMO Radar: Theory and Application

This comprehensive new resource provides in-depth and timely coverage of the underpinnings and latest advances of MIMO radar. This book provides a comprehensive introduction to MIMO radar and demonstrates it’s utility in real-world applications, then culminates with the latest advances in optimal and adaptive MIMO radar for enhanced detection and target ID in challenging environments. Signal processing prerequisites are explained, including radar signals, orthogonal waveforms, matched filtering, multi-channel beam forming, and Doppler processing. This book discusses MIMO radar signal model, antenna properties, system modeling and waveform alternatives. MIMO implantation challenges are covered, including computational complexity, adaptive clutter mitigation, calibration and equalization, and hardware constraints.

Applications for GMTI radar, OTH radar, maritime radar, and automotive radar are explained. The book offers an introduction to optimum MIMO radar and includes details about detection, clutter, and target ID. Insight into adaptive MIMO radar and MIMO channel estimation is presented and techniques and illustrative examples are given. Readers find exclusive flight testing data from DARPA. The breadth of coverage in this all-inclusive resource makes it suitable for both practicing engineers and advanced researchers. The book concludes with discussions on areas for future research.

About the Author

Jamie Bergin currently a principal engineer at Information Systems Laboratories, Inc. He received his masters in electrical engineering from the University of New Hampshire. He is the instructor of a popular tutorial on MIMO radar that has been presented many times at the IEEE Radar Conference. Joseph R. Guerci has 30 years of experience in advanced technology research and development in government, industrial, and academic settings including the US Defense Advanced Research Projects Agency (DARPA) as Director of the Special Projects Office (SPO) where he led the inception, research, development, execution, and ultimately transition of next generation multidisciplinary defense technologies. In 2007, he received the IEEE Warren D. White Award for radar adaptive processing and is a Fellow of the IEEE for contributions to advanced radar theory and embodiment in real-world systems.