In our modern age of remote sensing, wireless communication, and
the nearly endless list of other antenna-based applications,
complex problems require increasingly sophisticated solutions.
Conventional antenna systems are no longer suited to high-noise or
low-signal applications such as intrusion detection. Detailing
highly effective approaches to non-Gaussian weak signal detection,
Adaptive Antennas and Receivers provides an authoritative
introduction to state-of-the-art research on the modeling, testing,
and application of these technologies. Edited by innovative
researcher and eminent expert Melvin M. Weiner, this book is the
first to integrate three advanced approaches to non-Gaussian weak
signal detection into a single reference: homogeneous partitioning
of the surveillance volume, adaptive antennas, and adaptive
receivers. Comprising self-contained chapters contributed by
renowned experts such as Donald D. Weiner and Ronald Fante, each
chapter explores the techniques, theoretical basis, and
applications of the approach under discussion. The book considers
signal detection in the presence of external noise such as clutter
residue, interference, atmospheric noise, jammers, external thermal
noise, in vivo surrounding tissue, and camouflaging material,
making it ideal for use across a broad spectrum of applications.
This authoritative reference supplies more than 750 figures and
tables, 1460 equations, and 640 references. Adaptive Antennas and
Receivers is an ideal resource for improving performance in
surveillance, communication, navigation, artificial intelligence,
computer tomography, neuroscience, and intrusion detection systems,
to name only a few.
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