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Artech House UK
Radar Equations for Modern Radar

Radar Equations for Modern Radar

By (author): David K. Barton
Copyright: 2012
Pages: 452
ISBN: 9781608075218

Print Book £142.00 Qty:
eBook £107.00
Based on the classic Radar Range-Performance Analysis from 1980, this practical volume extends that work to ensure applicability of radar equations to the design and analysis of modern radars. This unique book helps you identify what information on the radar and its environment is needed to predict detection range. Moreover, it provides equations and data to improve the accuracy of range calculations. You find detailed information on propagation effects, methods of range calculation in environments that include clutter, jamming and thermal noise, as well as loss factors that reduce radar performance. This invaluable book is supported with nearly 200 illustrations and over 430 equations.
Development of the Radar Equation - Radar Equation Fundamentals. The Original Radar Equation. Blake 's Radar Equation for Pulsed Radar. Other Forms of the Radar Equation. Avoiding Pitfalls in Range Calculation. Radar Equation for Modern Radar Systems. Summary of Radar Equation Development. ; The Search Radar Equation - Derivation of the Search Radar Equation. Search Sectors for Air Surveillance. Three-Dimensional Air Surveillance. Surveillance with Multifunction Array Radar. The Search Fence. Search Losses. ; Radar Equations for Clutter and Jamming - Signal-to-Interference Ratio. Clutter Effect on Detection Range. Detection in Surface Clutter. Detection in Volume Clutter. Effects of Discrete Clutter. Sidelobe Clutter. Detection in Noise Jamming. Deceptive Jamming. Summary of Detection in Jamming. Detection in Combined Interference. ; Detection Theory - Background. Steady-Target Detectability Factor. Detectability Factors for Fluctuating Targets. Equations Based on Detector Loss. Diversity in Radar. Visibility Factor. Summary of Detection Theory. ; Beamshape Loss - Background. Beamshape Loss with Dense Sampling. Sparse Sampling in 1-D Scan. Sparse Sampling in 2-D Raster Scan. Sparse Sampling Using a Triangular Grid. Summary of Beamshape Loss.; System Noise Temperature - Noise in the Radar Bands. Sources of Noise in Radar Reception. Antenna Noise Temperature. Receiving Line Temperature. Receiver Noise Temperature. Summary of Receiving System Noise. ; Atmospheric Effects - Tropospheric Refraction. Attenuation in the Troposphere. Attenuation from Precipitation. Tropospheric Lens Loss. Ionospheric Effects. Summary of Atmospheric Effects. ; The Pattern-Propagation Factor - Equations for the F-Factor. Geometrical Models of the Ray Paths. Reflection Coefficient. Diffraction. The Interference Region. The Intermediate Region. Summary of Propagation Factors. ; Clutter and Signal Processing - Modes of Surface Clutter. Models of Sea Clutter. Models of Land Clutter. Discrete Clutter. Models of Volume Clutter. Clutter Improvement Factor. Summary of Clutter and Signal Processing. ; Loss Factors in the Radar Equation - Reduction in Received Signal Energy. Increases in Required Signal Energy. Losses in Visual Detection. Summary of Loss Factors.; List of Symbols ; Appendix Analysis Tools on DVD ;
  • David K. Barton David K. Barton is a consultant on radar systems, recently retired from ANRO Engineering, Inc., of Hudson, Massachusetts. Since 1975, he has been the series editor of Artech House's highly successful Radar series. Holder of the IEEE's Centennial Medal, Millennium Medal, and Dennis J. Picard Medal, he is widely regarded throughout the world as a leading authority on radar technology. He is the author of Radar System Analysis and Modeling (Artech House, 2004) and the co-editor of Radar Technology Encyclopedia, CD-ROM Edition (Artech House, 1999), among other publications.
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