Detecting and Classifying Low Probability of Intercept Radar, Second Edition (eBook, PDF)
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The world's most authoritative resource on LPI emitter design and counter-LPI techniques is now updated with the latest developments in the field, complete with 360 task-clarifying illustrations and ready-to-use MATLAB simulations for every LPI modulation in the book. This revised and expanded second edition brings you to the cutting edge with new chapters on LPI radar design, including over-the-horizon radar, random noise radar, and netted LPI radar. You also discover critical LPI detection techniques, parameter extraction signal processing techniques, and anti-radiation missile design strate...
The world's most authoritative resource on LPI emitter design and counter-LPI techniques is now updated with the latest developments in the field, complete with 360 task-clarifying illustrations and ready-to-use MATLAB simulations for every LPI modulation in the book. This revised and expanded second edition brings you to the cutting edge with new chapters on LPI radar design, including over-the-horizon radar, random noise radar, and netted LPI radar. You also discover critical LPI detection techniques, parameter extraction signal processing techniques, and anti-radiation missile design strategies to counter LPI radar.This comprehensive book presents LPI radar design essentials, including ambiguity analysis of LPI waveforms, FMCW radar, and phase-shift and frequency-shift keying techniques. Moreover, you find details on new OTHR modulation schemes, noise radar, and spatial multiple-input multiple-output (MIMO) systems. The book explores autonomous non-linear classification signal processing algorithms for identifying LPI modulations. It also demonstrates four intercept receiver signal processing techniques for LPI radar detection that helps you determine which time-frequency, bi-frequency technique best suits any LPI modulation of interest. Software Included CD-ROM Included! Contains MATLAB programs that allow you to design various LPI emitter architectures and waveform modulations and determine the best autonomous detection and classification signal processing techniques to identify the LPI emitter modulation.
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