Weiner M.M. Adaptive Antennas and Receivers

CRC Press, 2006. — 1206 p. — ISBN: 978-0-8493-3764-2.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.HomogeneousPartitioning of the Surveillance Volume.M.M. Weiner.
ANew ApproachtoRadar DetectionBased on the Partitioning and Statistical Characterization of the Surveillance Volume.
M. A. Slamani.
Statistical Analysis of the Nonhomogeneity Detector (for Excluding NonhomogeneousSamples from a Subdivision).
M. Rangaswamy, J.
ANew Technique for Univariate Distribution Approximation of Random Data.
R. R. Shah.
Probability Density Distribution Approximation and Goodness-of-Fit Tests of Random Data.
A. Ozturk.
Applications.
W. J. Baldygo, C. T. Capraro, G. T. Capraro, D. Ferris, A. D . Keckler, M. A . Slamani, D. L . Stadelman, V. Vannicola, D. D. Weiner, W. W. Weiner,and M. C. Wicks.
Adaptive Antennas.M. M. Weiner.
Adaptive Implementation of Optimum Space –Time Processing.
L. Cai and H. Wang.
APrinted-Circuit SmartAntenna with Hemispherical.
Coverage for High Data-Rate Wireless Systems.
G. Ploussios.
Applications.
E. C. Barile, R. M. Davis, R. L . Fante,T.P. Guella, J. A. Torres,and J. J. Vaccaro.
Adaptive Receivers.M. M. Weiner.
Spherically Invariant Random Processes for Radar Clutter Modeling, Simulation, and Distribution Identification.
M. Rangaswamy.
Weak SignalDetection.
P. Chakravarthi.
AGeneralizationofSpherically Invariant Random Vectors (SIRVs) with an Application to Reverberation Reduction in aCorrelation Sonar.
T. J . Barnard.
Applications.
T. J. Barnard, A. D. Keckler, F. Khan, J. H. Michels, M. Rangaswamy, D. L . Stadelman, and D. D. Weiner.
Appendices.
Acronyms.Computer Programsavailable at CRC Press Website.