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Records publications acquired from Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka, by the U.S. Library of Congress Offices in New Delhi, India, and Karachi, Pakistan.
The 138 papers contained in this volume present the newest and most sophisticated techniques, which have been developed in different but related fields of research from radar to medical and industrial imaging. Enormously extended areas of research are covered, they are however, related to each other from the view point of noise and clutter rejection. The interdisciplinary nature of the proceedings will make them of considerable interest to a broad readership. A selection of contents: Polarimetric SAR: Principles and Applications (F.T. Ulaby). Flow field characterization by NMR (O. Nalcioglu). Weibull clutter and its suppression (M. Sekine). Sessions: A. Noise and Clutter Properties. I. Application of the K-distribution to Radar Clutter (K.D. Ward). Sea CAS: Sea clutter acquisition system (J. Dunn-Rogers). Space and frequency correlation of multipath fading due to sea surface scattering and its reduction by diversity technique for low G/T mobile satellite communications (M. Yasunaga et al.). II. A study of land clutter spectrum (N. Li). Polarimetric measurement of the propagation characteristics of forest clutter (M.W. Whitt et al.). Remote Sensing. I.
TRACKING, PREDICTION, AND SMOOTHING BASICS. g and g-h-k Filters. Kalman Filter. Practical Issues for Radar Tracking. LEAST-SQUARES FILTERING, VOLTAGE PROCESSING, ADAPTIVE ARRAY PROCESSING, AND EXTENDED KALMAN FILTER. Least-Squares and Minimum-Variance Estimates for Linear Time-Invariant Systems. Fixed-Memory Polynomial Filter. Expanding- Memory (Growing-Memory) Polynomial Filters. Fading-Memory (Discounted Least-Squares) Filter. General Form for Linear Time-Invariant System. General Recursive Minimum-Variance Growing-Memory Filter (Bayes and Kalman Filters without Target Process Noise). Voltage Least-Squares Algorithms Revisited. Givens Orthonormal Transformation. Householder Orthonormal Transformation. Gram--Schmidt Orthonormal Transformation. More on Voltage-Processing Techniques. Linear Time-Variant System. Nonlinear Observation Scheme and Dynamic Model (Extended Kalman Filter). Bayes Algorithm with Iterative Differential Correction for Nonlinear Systems. Kalman Filter Revisited. Appendix. Problems. Symbols and Acronyms. Solution to Selected Problems. References. Index.