Wireless technologies in intelligent transportation systems /
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York :
Nova Science Publishers,
c2010.
|
Colección: | Transportation issues, policies and R&D series.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.
- 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.