UID:
almafu_9959328379502883
Umfang:
1 online resource (xii, 268 pages) :
,
illustrations (some color)
ISBN:
9780470283158
,
0470283157
,
9780470283141
,
0470283149
Serie:
Adaptive and learning systems for signal processing, communications, and control
Anmerkung:
Cover -- Copyright -- Contents -- Contributors -- 1 Introduction -- 1.1 Organization of the Book -- Acknowledgments -- References -- 2 Cognitive Radar -- 2.1 Introduction -- 2.2 Cognitive Radar Signal-Processing Cycle -- 2.3 Radar-Scene Analysis -- 2.3.1 Statistical Modeling of Statistical Representation of Clutter- and Target-Related Information -- 2.4 Bayesian Target Tracking -- 2.4.1 One-Step Tracking Prediction -- 2.4.2 Tracking Filter -- 2.4.3 Tracking Smoother -- 2.4.4 Experimental Results: Case Study of Small Target in Sea Clutter -- 2.4.5 Practical Implications of the Bayesian Target Tracker -- 2.5 Adaptive Radar Illumination -- 2.5.1 Simulation Experiments in Support of Adjustable Frequency Modulation -- 2.6 Echo-Location in Bats -- 2.7 Discussion -- 2.7.1 Learning -- 2.7.2 Applications -- Acknowledgments -- References -- 3 Knowledge-Based Radar Signal and Data Processing: A Tutorial Overview -- 3.1 Radar Evolution -- 3.2 Taxonomy of Radar -- 3.3 Signal Processing -- 3.4 Data Processing -- 3.5 Introduction to Artificial Intelligence -- 3.5.1 Why Robotics and Knowledge-Based Systems? -- 3.5.2 Knowledge Base Systems (KBS) -- 3.5.3 Semantic Web Technologies -- 3.6 A Global View and KB Algorithms -- 3.6.1 An Airborne Autonomous Intelligent Radar System (AIRS) -- 3.6.2 Filtering, Detection, and Tracking Algorithms and KB Processing -- 3.7 Future work -- 3.7.1 Target Matched Illumination -- 3.7.2 Spectral Interpolation -- 3.7.3 Bistatic Radar and Passive Coherent Location -- 3.7.4 Synthetic Aperture Radar -- 3.7.5 Resource Allocation in a Multifunction Phased Array Radar -- 3.7.6 Waveform Diversity and Sensor Geometry -- Acknowledgments -- References -- 4 An Overview of Knowledge-Aided Adaptive Radar at DARPA and Beyond -- 4.1 Introduction -- 4.1.1 Background on STAP -- 4.1.2 Examples of Real-World Clutter -- 4.2 Knowledge-Aided STAP (KA-STAP) -- 4.2.1 Knowledge-Aided STAP: Back to "Bayes-ics" -- 4.3 Real-Time KA-STAP: The DARPA KASSPER Program -- 4.3.1 Obstacles to Real-Time KA-STAP -- 4.3.2 Solution: Look-Ahead Scheduling -- 4.4 Applying KA Processing to the Adaptive MIMO Radar Problem -- 4.5 The Future: Next-Generation Intelligent Adaptive Sensors -- References -- 5 Space-Time Adaptive Processing for Airborne Radar: A Knowledge-Based Perspective -- 5.1 Introduction -- 5.2 Problem Statement -- 5.3 Low Computation Load Algorithms -- 5.3.1 Joint Domain Localized Processing -- 5.3.2 Parametric Adaptive Matched Filter -- 5.3.3 Multistage Wiener Filter -- 5.4 Issues of Data Support -- 5.4.1 Nonhomogeneity Detection -- 5.4.2 Direct Data Domain Methods -- 5.5 Knowledge-Aided Approaches -- 5.5.1 A Preliminary Knowledge-Based Processor -- 5.5.2 Numerical Example -- 5.5.3 A Long-Term View -- 5.6 Conclusions -- References -- 6 CFAR Knowledge-Aided Radar Detection and its Demonstration Using Measured Airborne Data -- 6.1 Introduction -- 6.2 Problem Formulation and Design Issues -- 6.3 KA Data Selector -- 6.4 2S-DSP Data Selection Procedure -- 6.4.1 Two-Step Data Selection Procedure (2S-DSP) -- 6.5 RP-ANMF Detector -- 6.6 Performance Analysis -- 6.7 Conclusions -- References -- Appendix 6A: Registration Geometry -- 7 STAP via Knowledge-Aided Covariance Estimation and the FRACTA Meta-Algorithm.
Weitere Ausg.:
Print version: Gini, Fulvio. Knowledge based radar detection, tracking, and classification. Hoboken, NJ : Wiley, ©2008 ISBN 9780470149300
Weitere Ausg.:
ISBN 0470149302
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470283158
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470283158
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470283158
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470283158
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