Overview
- Authors:
-
-
Jeffrey Foutz
-
Arizona State University, USA
-
Andreas Spanias
-
Arizona State University, USA
-
Mahesh K. Banavar
-
Arizona State University, USA
Access this book
Other ways to access
Table of contents (4 chapters)
-
-
- Jeffrey Foutz, Andreas Spanias, Mahesh K. Banavar
Pages 1-4
-
- Jeffrey Foutz, Andreas Spanias, Mahesh K. Banavar
Pages 5-15
-
- Jeffrey Foutz, Andreas Spanias, Mahesh K. Banavar
Pages 17-47
-
- Jeffrey Foutz, Andreas Spanias, Mahesh K. Banavar
Pages 49-53
-
About this book
This book provides an introduction to narrowband array signal processing, classical and subspace-based direction of arrival (DOA) estimation with an extensive discussion on adaptive direction of arrival algorithms. The book begins with a presentation of the basic theory, equations, and data models of narrowband arrays. It then discusses basic beamforming methods and describes how they relate to DOA estimation. Several of the most common classical and subspace-based direction of arrival methods are discussed. The book concludes with an introduction to subspace tracking and shows how subspace tracking algorithms can be used to form an adaptive DOA estimator. Simulation software and additional bibliography are given at the end of the book.
Table of Contents: Introduction / Background on Array Processing / Nonadaptive Direction of Arrival Estimation / Adaptive Direction of Arrival Estimation / Appendix
About the authors
Jeff Foutz received his B.S., M.S., and Ph.D. degrees in electrical engineering from Arizona State University in 1998, 2001, and 2007, respectively. At Arizona State, he performed research in the field of adaptive arrays, including direction of arrival estimation, beamforming, and subspace tracking. From 2002 to 2005, he was with Motorola/Freescale Semiconductor where he worked on video processing for cable television and telematics applications. Since 2007, he has been with GE Healthcare working as a medical image processing engineer.
Andreas Spanias is a professor in the Department of Electrical Engineering, Fulton School of Engineering at Arizona State University. He is also the director of the SenSIP consortium. His research interests are in the areas of adaptive signal processing, speech processing, and audio sensing. Prof. Spanias has collaborated with Intel Corporation, Sandia National Labs, Motorola, Texas Instruments, DTC, Freescale, Microchip, and Active Noise and Vibration Technologies. He and his student team developed the computer simulation software Java-DSP ( J-DSP; ISBN 0-9724984-0-0). He is author of two textbooks, Audio Processing and Coding by Wiley and DSP: An Interactive Approach. He received the 2003 Teaching Award from the IEEE Phoenix section for the development of J-DSP. He has served as associate editor of the IEEE Transactions on Signal Processing and as General Cochair of the 1999 International Conference on Acoustics Speech and Signal Processing (ICASSP-99) in Phoenix. He also served as the IEEE Signal Processing Vice President for Conferences and is currently member-at-large of the IEEE SPS Conference Board. Prof. Spanias is corecipient of the 2002 IEEE Donald G. Fink paper prize award and was elected fellow of the IEEE in 2003. He served as distinguished lecturer for the IEEE Signal Processing Society. He is currently the editor for the Morgan & Claypool Publishers series on DSP algorithms and software.
Mahesh K. Banavar is a graduatestudent at Arizona State University. He received his B.E. degree in telecommunications engineering from Visvesvaraya Technological University, Karnataka, India, in 2005 and his M.S. degree in electrical engineering from Arizona State University in 2008. He is currently a Ph.D. student at Arizona State University specializing in signal processing and communications and doing research in wireless communications and sensor networks. He is a member of the Eta Kappa Nu honor society and a student member of the IEEE.
