Wireless technologies in intelligent transportation systems /

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Bibliographic Details
Imprint:New York : Nova Science Publishers, c2010.
Description:1 online resource.
Language:English
Series:Transportation issues, policies and R&D series
Transportation issues, policies and R&D series.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11284697
Hidden Bibliographic Details
Other authors / contributors:Zhou, Ming-Tuo, editor.
Zhang, Yan, 1977- editor.
Yang, Laurence Tianruo, editor.
ISBN:9781611225716
161122571X
9781607415886
1607415887
Notes:Includes bibliographical references and index.
English.
Description based on print version record.
Other form:Print version: Wireless technologies in intelligent transportation systems New York : Nova Science Publishers, c2010. 9781607415886 (hardcover)

MARC

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245 0 0 |a Wireless technologies in intelligent transportation systems /  |c Ming-Tuo Zhou, Yan Zhang, and Laurence T. Yang, editors. 
264 1 |a New York :  |b Nova Science Publishers,  |c c2010. 
300 |a 1 online resource. 
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490 1 |a Transportation issues, policies and R&D series 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record. 
546 |a English. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
650 0 |a Intelligent transportation systems.  |0 http://id.loc.gov/authorities/subjects/sh93002804 
650 0 |a Wireless communication systems.  |0 http://id.loc.gov/authorities/subjects/sh92006740 
650 7 |a TRANSPORTATION  |x Automotive  |x Pictorial.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Automotive.  |2 bisacsh 
650 7 |a Intelligent transportation systems.  |2 fast  |0 (OCoLC)fst01723430 
650 7 |a Wireless communication systems.  |2 fast  |0 (OCoLC)fst01176209 
655 0 |a Electronic books. 
655 4 |a Electronic books. 
700 1 |a Zhou, Ming-Tuo,  |e editor. 
700 1 |a Zhang, Yan,  |d 1977-  |e editor.  |0 http://id.loc.gov/authorities/names/n2006044046 
700 1 |a Yang, Laurence Tianruo,  |e editor. 
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830 0 |a Transportation issues, policies and R&D series.  |0 http://id.loc.gov/authorities/names/no2009187993 
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