| Description |
1 online resource. |
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text file |
| Series |
Transportation issues, policies and R&D series
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Transportation issues, policies and R&D series.
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| Bibliography |
Includes bibliographical references and index. |
| Contents |
WIRELESS TECHNOLOGIES IN INTELLIGENT TRANSPORTATION SYSTEMS ; WIRELESS TECHNOLOGIES IN INTELLIGENT TRANSPORTATION SYSTEMS ; CONTENTS ; PREFACE ; PART 1. HARDWARE, IMPLEMENTATION AND PHYSICALLAYER TECHNOLOGIES; RADAR SENSOR TECHNOLOGY AND TESTREQUIREMENTS IN AUTOMOTIVE APPLICATIONS; Abstract; 1. Introduction; 2. Automotive Radar Technology; Applications Overview; ACC Radar System Requirements; ACC Radar Antenna Types; Radar Types and Modulation Schemes; FM-CW; FSK; Pulse; 3. ACC Radar Test Requirements; Component Level; Sensor Functional Testing; Sensor Alignment on Vehicle. |
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Optical Mechanical AlignementUsing Internal Angle Measurements; RF Alignment; Built-in Testing and Alignment; 4. Conclusion; References; RADIO CHANNEL MODELINGFOR VEHICLE-TO-VEHICLE/ROADCOMMUNICATIONS; Abstract; Abbreviations; 1. Introduction; 1.1. Defining the V2V and V2R Channels; 1.2. The V2V Channel; 1.3. The V2R Channel; 1.4. V2V/V2R Communication Frequency Bands, and the DSRC Standard; 1.5. V2V/V2R Channels vs. Traditional Mobile Channels; 1.6. Importance of Channel Modeling; 2. Statistical Channel Characteristics; 2.1. Basics; 2.2. Small Scale vs. Large Scale Fading. |
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2.3. The Multipath Channel Impulse Response2.4. CIR and CTF Correlation Functions, and Doppler; 2.5. Uncorrelated Scattering; 2.6. Wide-Sense Stationarity; 2.7. Wide-Sense Stationarity, Uncorrelated Scattering; 2.8. Non-stationary Channels and Correlated Scattering; 2.9. Remarks on V2V Channel Statistics; 3. Existing Work on V2V/V2R Channels; 3.1. Deterministic Models; 3.2. Theoretical Statistical Models; 3.3. Empirical Statistical Models; 4. New Non-stationary V2V Channel Models; 4.1. Modeling Multipath Component Persistence. |
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4.2. Modeling Propagation Region Transitions and Time-Varying DopplerSpectra4.3. Representative NS V2V Models; Conclusion; Acknowledgments; References; SMART ANTENNAS IN INTELLIGENTTRANSPORTATION SYSTEMS; Abstract; Abbreviations; 1. Introduction; 2. Smart Antennas and Their Benefits for IntelligentTransportation Systems; 2.a. Types of Smart Antennas; 2.b. Benefits of Smart Antennas for ITS; 2.b.1. Spatial Filtering for Interference Reduction; 2.b.2. Space Division Multiple Access (SDMA); 2.b.3. Location Positioning of Mobile Units; 3. Array Data Model and Problem Formulation. |
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4. Beamforming Algorithms4.a. Conventional Beamformer; 4.b. Null-steering Beamformer; 4.c. Optimal Beamformer; 4.d. Minimum Mean Square Error (MMSE) Beamformer; 4.e. Adaptive Beamforming Algorithms; 4.e.1. Sample Matrix Inversion (SMI) Algorithm; 4.e.2. Least Mean Square (LMS) Algorithm; 5. Direction of Arrival Estimation; 5.a. MVDR Estimator; 5.b. MUltiple SIgnal Classification (MUSIC) Estimator; 5.c. Estimation of Signal Parameters via Rotational Invariance Technique(ESPRIT); 5.d. Maximum Likelihood (ML) Estimator; 5.d.1. Conditional Maximum Likelihood (CML) Estimator. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Language |
English. |
| Subject |
Intelligent transportation systems.
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Intelligent transportation systems. |
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Wireless communication systems.
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Wireless communication systems. |
| Genre/Form |
Electronic books.
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| Added Author |
Zhou, Ming-Tuo, editor.
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Zhang, Yan, 1977- editor.
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Yang, Laurence Tianruo, editor.
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| Other Form: |
Print version: Wireless technologies in intelligent transportation systems New York : Nova Science Publishers, c2010. 9781607415886 (hardcover) (DLC) 2009015638 |
| ISBN |
9781611225716 ebook |
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161122571X |
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9781607415886 hardcover |
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1607415887 |
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