Adaptive Antennas and Receivers
Melvin M. Weiner
CRC Press, Nov 4, 2005 - Technology & Engineering - 1240 pages
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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adaptive angles antenna approximation chart array average azimuth beam best-fit BN cells BNCCP BNCQP BNQP cancellation characteristic PDF CL cells CL patch clutter confidence contours corresponding covariance matrix denotes density function detection detector Doppler end point envelope PDF Equation estimate example extreme value theory false alarm probabilities g ¼ Gamma Gamma distribution given GLRT goodness-of-fit test histogram interference jammer joint PDF K-distributed linked vectors Lognormal mapping procedure matched filter multipath multivariate NCQ ¼ noise nonGaussian normal null distribution null hypothesis obtained optimum order statistics output Ozturk Algorithm PDF approximation performance PLCCP PLCQP plot processing processor pulse quadratic form quantized radar random variable random vector range ratio region sample data Section shape parameter shown in Figure simulation SIRP SIRV sonar space–time statistically independent subarray subpatches surveillance volume Table target test cell test statistic univariate values weak signal Weibull zero
Page v - Dictionary10 defines the subclutter visibility as "the ratio by which the target echo power may be weaker than the coincident clutter echo power and still be detected with specified detection and false alarm probabilities. Target and clutter powers are measured on a single pulse return and all target radial velocities are assumed equally likely.