Brings together in one book classical and modern DOA techniques,
showing the connections between themContains contributions from the
leading people in the fieldGives a concise and easy- to- read
introduction to the classical techniquesEvaluates the strengths and
weaknesses of key super-resolution techniquesIncludes applications
to sensor networks
Classical and Modern Direction of Arrival Estimation contains
both theory and practice of direction finding by the leading
researchers in the field. This unique blend of techniques used in
commercial DF systems and state-of-the art super-resolution methods
is a valuable source of information for both practicing engineers
and researchers. Key topics covered are: Classical methods of
direction findingPractical DF methods used in commercial
systemsCalibration in antenna arraysArray mapping, fast algorithms
and wideband processingSpatial time-frequency distributions for DOA
estimationDOA estimation in threshold regionHigher order statistics
for DOA estimationLocalization in sensor networks and direct
position estimation
T. Engin Tuncer is a Professor in Electrical and Electronics
Engineering Department of Middle East Technical University, Turkey.
His research is focused on sensor array and multichannel signal
processing, statistical signal processing and communications.
Ben Friedlander is an internationally known expert in the areas
of statistical signal processing and its applications to
communications and surveillance systems. He has extensive
experience spanning over three decades in array processing and
direction finding. In recent years his work focused on the use of
multiple antennas for wireless communications. Currently he is a
professor of electrical engineering at the University of California
at Santa Cruz.
Brings together in one book classical and modern DOA techniques,
showing the connections between themContains contributions from the
leading people in the fieldGives a concise and easy- to- read
introduction to the classical techniquesEvaluates the strengths and
weaknesses of key super-resolution techniquesIncludes applications
to sensor networks
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