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|a Classical and modern direction-of-arrival estimation /
|c edited by Engin Tuncer, Benjamin Friedlander.
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|a Amsterdam ;
|a Boston :
|b Academic,
|c ©2009.
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|a 1 online resource (xix, 429 pages) :
|b illustrations
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|a Includes bibliographical references and index.
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|a Print version record.
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|a Front Cover; Title Page; Copyright Page; Table of Contents; Preface; List of Contributors; Chapter 1. Wireless Direction-Finding Fundamentals; 1.1 Introduction; 1.2 Problem Formulation; 1.3 Direction-Finding Algorithms; 1.4 Direction-Finding Accuracy; 1.5 Multipath and Co-Channel Interference; 1.6 Direction Finding for Multiple Co-Channel Emitters; 1.7 Discussion; Appendix; References; Chapter 2. Practical Aspects of Design and Application of Direction-Finding Systems; 2.1 Introduction; 2.2 Application of Direction-Finding Systems; 2.3 Typical System Design-Overview
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|a 2.4 Performance Parameters2.5 Antenna Array Design; 2.6 Number of Antenna Elements and Processing Channels; 2.7 Multichannel Receivers; 2.8 Wideband Direction Finding; 2.9 Implementation Aspects of High-Resolution Direction Finding; 2.10 Error Sources; 2.11 Test and Measurement Procedures; References; Chapter 3. Calibration in Array Processing; 3.1 Introduction; 3.2 Data and Error Models; 3.3 Direction-of-Arrival Estimation; 3.4 Auto-Calibration Techniques; 3.5 Calibration Using Sources at Known Positions; 3.6 Array Interpolation Techniques; 3.7 Comparison of Approaches; 3.8 Conclusion
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|a 6.1 Introduction6.2 Time-Frequency Distribution; 6.3 Spatial Time-Frequency Distribution; 6.4 Time-Frequency DOA Estimation Techniques; 6.5 Polarimetric Time-Frequency DOA Estimation; 6.6 The Spatial Ambiguity Function and Applications to DOA Estimation; 6.7 Wideband DOA Estimation; 6.8 Time-Frequency Points; 6.9 Conclusion; References; Chapter 7. DOA Estimation in the Small-Sample Threshold Region; 7.1 Introduction; 7.2 DOA Estimation in the Threshold Region; 7.3 Expected Likelihood Formulations; 7.4 Use of Expected Likelihood in the MUSIC Threshold Region
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|a 7.5 Subspace Swap and MUSIC Performance Breakdown7.6 Subspace Swap and MLE Performance Breakdown; 7.7 Conclusion; References; Chapter 8. High-Resolution DOA Estimation with Higher-Order Statistics; 8.1 Introduction; 8.2 Observation Model and Data Statistics; 8.3 The 2q-MUSIC Method; 8.4 2q-MUSIC Identifiability; 8.5 2q-MUSIC Performance; 8.6 Computer Simulations; 8.7 Extension to Arrays with Diversely Polarized Antennas: The PD-2q-MUSIC Methods; 8.8 Conclusion; References; Chapter 9. Source and Node Localization in Sensor Networks; 9.1 Introduction
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|a Brings together in one book classical and modern DOA techniques, showing the connections between themContains contributions from the leading people in the fieldGives a concise and easy- to- read introduction to the classical techniquesEvaluates the strengths and weaknesses of key super-resolution techniquesIncludes applications to sensor networks Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers in the field. This unique blend of techniques used in comme.
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|a Friedlander, Benjamin.
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|i Print version:
|t Classical and modern direction-of-arrival estimation.
|d Amsterdam ; Boston : Academic, ©2009
|z 9780123745248
|w (DLC) 2009281933
|w (OCoLC)467738836
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776 |
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|i Online version:
|t Classical and modern direction-of-arrival estimation.
|d Amsterdam ; Boston : Academic, ©2009
|w (OCoLC)1152964075
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