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Knowledge-based radar detection, tracking, and classification [[electronic resource] /] / edited by Fulvio Gini and Muralidhar Rangaswamy
| Knowledge-based radar detection, tracking, and classification [[electronic resource] /] / edited by Fulvio Gini and Muralidhar Rangaswamy |
| Autore | Gini Fulvio |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2008 |
| Descrizione fisica | 1 online resource (287 p.) |
| Disciplina |
621.389/28
621.38928 |
| Altri autori (Persone) | RangaswamyMuralidhar |
| Collana | Adaptive and Learning Systems for Signal Processing, Communications and Control Series |
| Soggetto topico |
Tracking radar
Expert systems (Computer science) Automatic tracking Target acquisition Adaptive signal processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-76662-3
9786611766627 0-470-28315-7 0-470-28314-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE-BASED RADAR DETECTION, TRACKING, AND CLASSIFICATION; 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 Tracker2.5 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; 2.7.2.1 Multifunction Radars; 2.7.2.2 Noncoherent Radar Network; 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 Beyond4.1 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"; 4.2.1.1 Case I: Intelligent Training and Filter Selection (ITFS); 4.2.1.2 Case II: Bayesian Filtering and Data Pre-Whitening; 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 SensorsReferences; 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; 5.4.2.1 Hybrid Approach; 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 |
| Record Nr. | UNINA-9910144134803321 |
Gini Fulvio
|
||
| Hoboken, NJ, : Wiley, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge-based radar detection, tracking, and classification [[electronic resource] /] / edited by Fulvio Gini and Muralidhar Rangaswamy
| Knowledge-based radar detection, tracking, and classification [[electronic resource] /] / edited by Fulvio Gini and Muralidhar Rangaswamy |
| Autore | Gini Fulvio |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2008 |
| Descrizione fisica | 1 online resource (287 p.) |
| Disciplina |
621.389/28
621.38928 |
| Altri autori (Persone) | RangaswamyMuralidhar |
| Collana | Adaptive and Learning Systems for Signal Processing, Communications and Control Series |
| Soggetto topico |
Tracking radar
Expert systems (Computer science) Automatic tracking Target acquisition Adaptive signal processing |
| ISBN |
1-281-76662-3
9786611766627 0-470-28315-7 0-470-28314-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE-BASED RADAR DETECTION, TRACKING, AND CLASSIFICATION; 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 Tracker2.5 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; 2.7.2.1 Multifunction Radars; 2.7.2.2 Noncoherent Radar Network; 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 Beyond4.1 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"; 4.2.1.1 Case I: Intelligent Training and Filter Selection (ITFS); 4.2.1.2 Case II: Bayesian Filtering and Data Pre-Whitening; 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 SensorsReferences; 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; 5.4.2.1 Hybrid Approach; 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 |
| Record Nr. | UNINA-9910830948803321 |
|
Gini Fulvio
|
||
| Hoboken, NJ, : Wiley, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge-based radar detection, tracking, and classification [[electronic resource] /] / edited by Fulvio Gini and Muralidhar Rangaswamy
| Knowledge-based radar detection, tracking, and classification [[electronic resource] /] / edited by Fulvio Gini and Muralidhar Rangaswamy |
| Autore | Gini Fulvio |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2008 |
| Descrizione fisica | 1 online resource (287 p.) |
| Disciplina |
621.389/28
621.38928 |
| Altri autori (Persone) | RangaswamyMuralidhar |
| Collana | Adaptive and Learning Systems for Signal Processing, Communications and Control Series |
| Soggetto topico |
Tracking radar
Expert systems (Computer science) Automatic tracking Target acquisition Adaptive signal processing |
| ISBN |
1-281-76662-3
9786611766627 0-470-28315-7 0-470-28314-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE-BASED RADAR DETECTION, TRACKING, AND CLASSIFICATION; 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 Tracker2.5 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; 2.7.2.1 Multifunction Radars; 2.7.2.2 Noncoherent Radar Network; 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 Beyond4.1 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"; 4.2.1.1 Case I: Intelligent Training and Filter Selection (ITFS); 4.2.1.2 Case II: Bayesian Filtering and Data Pre-Whitening; 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 SensorsReferences; 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; 5.4.2.1 Hybrid Approach; 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 |
| Record Nr. | UNINA-9910841122203321 |
|
Gini Fulvio
|
||
| Hoboken, NJ, : Wiley, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||