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Positioning in Wireless Communications Systems explains the principal differences and similarities of wireless communications systems and navigation systems. It discusses scenarios which are critical for dedicated navigation systems such as the Global Positioning System (GPS) and which motivate the use of positioning based on terrestrial wireless communication systems.
The book introduces approaches for determination of parameters which are dependent on the position of the mobile terminal and also discusses iterative algorithms to estimate and track the position of the mobile terminal. Models for radio propagation and user mobility are important for performance investigations and assessments using computer simulations. Thus, channel and mobility models are explored, especially focussing on critical navigation environments like urban or indoor scenarios.
Positioning in Wireless Communications Systems examines advanced algorithms such as hybrid data fusion of satellite navigation and positioning with wireless communications and cooperative positioning among mobile terminals.. The performance of the discussed positioning techniques are explored on the basis of already existing and operable terrestrial wireless communication systems such as GSM, UMTS, or LTE and it is shown how positioning issues are fixed in respective standards.
Written by industry experts working at the cutting edge of technological development, the authors are well placed to give an excellent view on this topic, enabling in-depth coverage of current developments.
Key features
• Unique in its approach to dealing with a heterogeneous system approach, different cell structures and signal proposals for future communications systems
• Covers hybrid positioning investigating how GNSS and wireless communications positioning complement each other
• Applications and exploitation of positioning information are discussed to show the benefits of including this information in several parts of a wireless communications system
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Cover
Title Page
Copyright
About the Authors
Preface
Acknowledgements
List of Abbreviations
Chapter 1: Introduction
1.1 Ground Based Positioning Systems
1.2 Satellite Based Positioning Systems
1.3 GNSS Augmentation Systems
1.4 Critical Environments
Chapter 2: Positioning Principles
2.1 Propagation Time
2.2 Angle of Arrival–AOA
2.3 Fingerprinting
Chapter 3: Measurements and Parameter Extraction
3.1 Parameter Estimation
3.2 Propagation Time
3.3 Angle of Arrival–AOA
Chapter 4: Position Estimation
4.1 Triangulation
4.2 Trilateration
4.3 Multilateration
4.4 Fingerprinting
4.5 Performance Bounds and Measures
Chapter 5: Position Tracking
5.1 Kalman Filter
5.2 Extended Kalman Filter
5.3 Particle Filter
5.4 Further Approaches
Chapter 6: Scenarios and Models
6.1 Scenarios
6.2 Channel Characterization
6.3 Channel Models
6.4 Mobility Models
Chapter 7: Advanced Positioning Algorithms
7.1 Hybrid Data Fusion
7.2 Cooperative Positioning
7.3 Multipath and Non-Line-of-Sight Mitigation
Chapter 8: Systems
8.1 GSM
8.2 UMTS
8.3 3GPP-LTE
8.4 Other Wide and Medium Range Systems
8.5 Short Range
8.6 Standardization
Chapter 9: Applications
9.1 Macro Diversity
9.2 Radio Resource Management–RRM
9.3 Mobility Management
3
9.4 Emergency Calls
9.5 Location-Based Services–LBS
References
Index
End User License Agreement
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Table of Contents
Figure 1.1
Figure 1.2
Figure 1.3
Figure 1.4
Figure 1.5
Figure 1.6
Figure 1.7
Figure 1.8
Figure 2.1
Figure 2.2
Figure 2.3
Figure 2.4
Figure 2.5
Figure 2.6
Figure 2.7
Figure 2.8
Figure 2.9
Figure 2.10
Figure 2.11
Figure 2.12
Figure 2.13
Figure 3.1
Figure 3.2
Figure 3.3
Figure 3.4
Figure 3.5
Figure 3.6
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Figure 3.8
Figure 3.9
Figure 3.10
Figure 4.1
Figure 4.2
Figure 4.3
Figure 4.4
Figure 4.5
Figure 4.6
Figure 4.7
Figure 4.8
Figure 5.1
Figure 5.2
Figure 5.3
Figure 5.4
Figure 5.5
Figure 5.6
Figure 5.7
Figure 5.8
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Figure 5.10
Figure 6.1
Figure 6.2
Figure 6.3
Figure 6.4
Figure 6.5
Figure 6.6
Figure 6.7
Figure 6.8
Figure 6.9
Figure 6.10
Figure 6.11
Figure 6.12
Figure 7.1
Figure 7.2
Figure 7.3
Figure 7.4
Figure 7.5
Figure 7.6
Figure 8.1
Figure 8.2
Figure 8.3
Figure 8.4
Figure 8.5
Figure 8.6
Figure 8.7
Figure 8.8
Figure 8.9
Figure 8.10
Figure 8.11
Figure 8.12
Figure 8.13
Figure 8.14
Figure 8.15
Figure 8.16
Figure 8.17
Figure 8.18
Figure 8.19
Figure 8.20
Figure 8.21
Figure 9.1
Figure 9.2
Figure 9.3
Figure 9.4
Figure 9.5
Figure 9.6
Figure 9.7
Figure 9.8
Figure 9.9
Figure 9.10
Figure 9.11
Figure 9.12
Figure 9.13
Figure 9.14
Figure 9.15
Figure 9.16
Figure 9.17
Figure 9.18
Figure 9.19
Table 1.1
Table 1.2
Table 1.3
Table 8.1
Table 8.2
Table 8.3
Table 8.4
Table 8.5
Table 8.6
Table 8.7
Table 8.8
Table 8.9
Table 8.10
Table 8.11
Table 8.12
Table 8.13
Table 8.14
Table 8.15
Table 8.16
Table 8.17
Table 8.18
Table 9.1
Table 9.2
Stephan Sand, Armin Dammann and Christian Mensing
German Aerospace Center (DLR), Germany
This edition first published 2014
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Stephan Sand (MSc EE 2001, Dipl-Ing 2002, Dr ETH Zurich 2010) studied electrical engineering with focus on communications technology, digital signal processing, and wireless communications at the University of Ulm, Germany (1996–2002), the University of Massachusetts Dartmouth, MA, USA (1999–2001), and the Swiss Federal Institute of Technology (ETH) Zurich, Switzerland (2005–2009). In 2002, he joined the Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany. Currently, he is managing and working on cooperative positioning and swarm navigation research projects at DLR. He was visiting researcher at NTT DoCoMo R&D Yokosuka, Japan in 2004 and at the Swiss Federal Institute of Technology (ETH) Zurich, Switzerland in 2007 working in the area of wireless communications. Stephan was actively involved in several research projects on mobile radio funded by the European Commission (4MORE, NEWCOM, COST289, PLUTO) and by international industry cooperation. In the GJU/GSA project GREAT and the EU FP7-ICT collaborative project WHERE, he lead the work on hybrid location determination. He was the coordinator of the recent EU FP7 project GRAMMAR on Galileo mass-market receivers. Currently, he leads the work on cooperative swarm navigation in the Valles Marineris Explorer Project. Stephan is a founding member of the International Conference on Localization and GNSS (ICL-GNSS) steering committee and was program committee co-chair of ICL-GNSS 2011 and general chair of ICL-GNSS 2012. His research interests and activities include wireless communications, multi-sensor navigation, cooperative positioning, and swarm navigation. Stephan has authored and coauthored more than 90 technical and scientific publications in conferences and journals, and obtained several patents on his inventions.
Armin Dammann (Dipl-Ing 1997, Dr-Ing 2005) studied electrical engineering with the main topic information- and microwave-technology at the University of Ulm, Germany from 1991–1997. In 1997, Armin joined the Institute of Communications and Navigation of the German Aerospace Center (DLR). Since 2005 he has been head of the Mobile Radio Transmission Research Group. His research interests and activities include navigation signal design for the European satellite navigation system Galileo, PHY/MAC layer design for terrestrial communications systems based on OFDM, antenna diversity techniques for wireless communications/broadcast systems and synchronization/positioning in wireless communications. Armin has authored and co-authored more than 120 technical and scientific publications in conference proceedings and journals in the fields of wireless communications and (cooperative) positioning. In these areas, he additionally holds several international patents. He has coorganized and cochaired the MC-SS workshop series on multi-carrier systems and solutions. Armin has been active in several EU research projects, for example, MCP, 4MORE, WINNER, NEWCOM, PLUTO, GREAT, GRAMMAR, and WHERE/WHERE2. For the latter, he has also been involved in management and coordination.
Christian Mensing (BSc 2002, Dipl-Ing 2004, MSc 2005 and Dr-Ing 2013) studied electrical engineering and information technology focusing on signal processing and high frequency technology at the Munich University of Technology (TUM), Germany. He received the BSc, Dipl-Ing, MSc, and Dr-Ing degree from TUM in 2002, 2004, 2005, and 2013, respectively. In 2005, he joined the Institute of Communications and Navigation of the German Aerospace Center (DLR) as a research engineer. His main interests included location estimation strategies for cellular networks and satellite based navigation systems, and detection techniques for communications. He has authored and co-authored more than 40 publications in conference proceedings and journals, and holds several patents. Christian has been involved in various European research projects on positioning and communications, for example, GREAT, WINNER, GRAMMAR, and WHERE. Since 2011, he has been working as development engineer at Rohde & Schwarz, Germany.
Since the advent of smartphones and tablet computers, such as Apple's iPhone and iPad or Google's Android devices, location based services have been widely used. Currently, the Global Positioning System (GPS) receivers in smartphones primarily provide the location information for these services. Usually, GPS only works well if the smartphone has an unobstructed clear sky view. Besides GPS, smartphones support many additional communications systems such as GSM, UMTS, LTE, WiFi, Bluetooth, and NFC. These communications technologies complement GPS for location based services, especially in urban and indoor environments. Hence, companies like Apple or Google already exploit the identity of WiFi hotspots and cellular base stations for a fast, sometimes crude, first position fix. Besides that, regulatory bodies such as US Federal Communications Commission require operators of cellular communications networks to guarantee, for emergency calls, a service quality of the measured location (FCC 1999). Hence, there exists a strong market and regulation driven development of positioning with current and future wireless communications technologies.
Personally, we started working on localization as early as 1997 with some early signal design studies on Galileo at the German Aerospace Center (DLR). Then, positioning with wireless communications, in particular with cellular communications technologies complementing GPS and the future Galileo system, became our focus from 2005. As our backgrounds are in information and communication theory as well as signal processing, we were not familiar with the specific challenges and requirements of positioning and corresponding signal processing. For example, communications engineers often model the wireless channel by a tapped delay line starting with delay zero. However, they do not take into account the delay of the first arriving path. This path is proportional to the distance between transmitter and receiver. Thus, it is essential to determine the location of a mobile terminal. Hence, this book reflects our learning process on positioning with wireless communications. It also shows our work experience through several projects on positioning.
The content of this book is organized into nine chapters. Through Chapters 1 and 2, the reader will quickly get acquainted with the topic of positioning with wireless communications. Chapter 1 introduces past, current, and future satellite and ground based radio positioning systems as well as critical environments for satellite based positioning systems. Next, Chapter 2 discusses the fundamental positioning principles. These principles are the basis for positioning in today's wireless radio systems.
Then, Chapters 3, 4, and 5 will enable the reader familiar with communication technology or signal processing to achieve a deep technical understanding of the basic positioning technology. Chapter 3 formulates the parameter estimation problem for obtaining position dependent measurements from wireless communications systems. In Chapter 4, positioning algorithms use these measurements to estimate a mobile terminal's location assuming the mobile terminal does not move during the positioning process. Chapter 5 extends the previously static positioning process to dynamic position tracking of moving mobile terminals.
More advanced topics on positioning with wireless communications are addressed in Chapters 6–9. First, Chapter 6 discusses in detail the scenarios and environments in which positioning with satellite and wireless communications systems takes place. It also presents corresponding propagation models for the radio signals and movement models for the mobile user. Second, Chapter 7 presents advanced positioning algorithms such as hybrid data fusion of satellite navigation and positioning with wireless communications, cooperative positioning among mobile terminals, and multipath and non-line-of-sight mitigation concepts. Subsequently, Chapter 8 surveys positioning with various wireless communications systems that are currently widely deployed and in use, or will be in the near future. The book concludes with an introduction to applications of positioning with wireless communications in Chapter 9.
The authors would like to thank the many direct and indirect contributors to this book. Many thanks go to Helena Leppäkoski from Tampere University of Technology for allowing us to reproduce her work on WLANs from the Galileo Ready Advanced Mass Market Receiver (GRAMMAR) project. Many thanks also go to Jimmy J. Nielsen from Aalborg University for permitting us to replicate his work on location-aided relay selection and location assisted handover prediction from the Wireless Hybrid Enhanced Mobile Radio Estimators (WHERE) project. Further, we would like to express our sincere thanks to Loïc Brunel, Nicolas Gresset, and Mélanie Plainchault from Mitsubishi Electric R&D Centre Europe, who granted us their permission to reproduce their work on location based inter-cell interference coordination from the WHERE project.
Many thanks to our colleagues from the Mobile Radio Transmission Group, the Department of Communications Systems, and the Institute of Communications and Navigation of DLR for helpful technical discussions. In particular, we thank Simon Plass for helping us on the application of position information for cellular diversity and Wei Wang on positioning with triangulation. Further, we would like to thank the members of the GREAT (Galileo REceiver for mAss markeT), GRAMMAR, WHERE, and WHERE2 project teams, whose work we have cited in this book.
Finally, many thanks to the Wiley team who made this book possible.
2G
Second Generation
3GPP
3rd Generation Partnership Project
3GPP2
3rd Generation Partnership Project 2
A-FLT
Advanced Forward Link Trilateration
AGNSS
Assisted GNSS
AltBOC
Alternative Binary Offset Carrier modulation
AMC
Adaptive Modulation and Coding
AOA
Angle of Arrival
AOAD
AOA Difference
AP
Access Point
API
Application Programming Interface
ASF
Additional Secondary Factors
ASIR-PF
Auxiliary SIR-PF
ATIS
Alliance for Telecommunications Industry Solutions
AWGN
Additive White Gaussian Noise
BCCH
Broadcast Control CHannel
BER
Bit Error Rate
BPSK
Binary Phase Shift Keying
BR
Basic Rate
BS
Base Station
C-CDD
Cellular CDD
C/A
Coarse/Acquisition
CAT
Cellular Alamouti Technique
CBOC
Composite Binary Offset Carrier modulation
CC
Cross-Correlation
CCK
Complementary Code Keying
CDD
Cyclic Delay Diversity
CDF
Cumulative Distribution Function
CDM
Code Division Multiplexing
CEP
Circular Error Probability
CGALIES
Coordination Group on Access to Location Information for Emergency Services
CIR
Channel Impulse Response
CoMP
COordinated Multi-Point
CP
Cooperative Positioning
CPF
Cumulative Probability Function
CPICH
Common Pilot CHannel
CRLB
Cramér–Rao Lower Bound
CRS
Cell-specific Reference Signal
CSI
Channel State Information
CSIT
CSI at the Transmitter
CSMA/CA
Carrier Sense Multiple Access with Collision Avoidance
DAB
Digital Audio Broadcasting
dB
Decibel
DC
Direct Current
DFT
Discrete Fourier Transform
DFTS-OFDM
DFT-Spread OFDM
DGNSS
Differential GNSS
DLL
Delay Locked Loop
DMRS
DeModulation Reference Signal
DOP
Dilution of Precision
DPCCH
Dedicated Physical Control CHannel
DPCH
Dedicated Physical CHannel
DPDCH
Dedicated Physical Data CHannel
DPSK
Differential PSK
DSL
Digital Subscriber Line
DSSS
Direct-Sequence Spread Spectrum
DVB-T
Digital Video Broadcasting–Terrestrial
E-CID
Enhanced Cell-ID
E-IPDL
Enhanced IPDL
E-SMLC
Enhanced Serving Mobile Location Center
E-UTRA
Evolved UTRA
E-UTRAN
Evolved UTRAN
EDAS
EGNOS Data Access Service
EDOP
East DOP
EDR
Enhanced Data Rate
EGC
Equal Gain Combining
EGNOS
European Geostationary Navigation Overlay Service
EKF
Extended KF
EMS
EGNOS Message Server
eNB
Evolved Node B
EOTD
Enhanced Observed Time Difference
EPC
Electronic Product Code
ERP
Extended Rate PHY
ESA
European Space Agency
ETSI
European Telecommunications Standards Institute
FAA
Federal Aviation Administration
FCC
Federal Communications Commission
FDD
Frequency Division Duplex
FDM
Frequency Division Multiplexing
FDOA
Frequency Difference of Arrival
FIM
Fisher Information Matrix
FMC
Fixed Modulation and Coding
GAGAN
GPS Aided Geo Augmented Navigation
GANSS
Galileo and Additional Navigation Satellite Systems
GDOP
Geometric DOP
GEO
Geostationary Orbit
GFSK
Gaussian Frequency-Shift Keying
GLONASS
Global Navigation Satellite System
GLOS
Geometric LOS
GMSK
Gaussian Minimum-Shift Keying
GNSS
Global Navigation Satellite System
GP
Guard Period
GPS
Global Positioning System
GRPR
Golden Received Power Range
GSM
Global System for Mobile Communications
GSO
Geosynchronous Orbit
GTD
Geometric Time Difference
HR/DSSS
High Rate DSSS
HS
HotSpot
HSDPA
High Speed Downlink Packet Access
HSPA+
Evolved High Speed Packet Access
HT
High Throughput
I-WiMAX
3GPP/3GPP2-WiMAX Interworking
I-WLAN
3GPP/3GPP2-WLAN Interworking
i.i.d.
Independent and Identically Distributed
ICIC
Inter-Cell Interference Coordination
IEEE
Institute of Electrical and Electronics Engineers
IFFT
Inverse Fast Fourier Transform
ILS
Instrument Landing System
IP
Internet Protocol
IPDL
Idle Period DownLink
IR
Impulse Radio
IRNSS
Indian Regional Navigational Satellite System
KF
Kalman Filter
LAN
Local Area Network
LBS
Location Based Services
LCS
LoCation Services
LE
Low Energy
LEO
Low Earth Orbit
LFSR
Linear Feedback Shift Register
LMU
Location Measurement Unit
LORAN
LOng Range Aid to Navigation
LOS
Line Of Sight
LPP
LTE Positioning Protocol
LPPa
LTE Positioning Protocol A
LQ
Link Quality
LTE
Long Term Evolution
LTE-A
LTE-Advanced
MAC
Media Access Control
MAI
Multiple Access Interference
MAP
Maximum A Posteriori
MB
MultiBand
MCC
Master Control Center
MCS
Master Control Station
MEO
Medium Earth Orbit
ML
Maximum Likelihood
MMSE
Minimum Mean Square Error
MRC
Maximum Ratio Combining
MSAS
Multifunctional Satellite Augmentation System
MSE
Mean Squared Error
MT
Mobile Terminal
MTCB
MT Clock Bias
NAVSTAR-GPS
Navigational Satellite Timing and Ranging–GPS
NDOP
North DOP
NFC
Near Field Communication
NLES
Navigation Land Earth Station
NLOS
Non-LOS
nm
Nautical Mile
OFDM
Orthogonal Frequency Division Multiplexing
OFDMA
Orthogonal Frequency Division Multiple Access
OTD
Observed Time Difference
OTDOA
Observed TDOA
P-CCPCH
Primary Common Control Physical CHannel
P/Y
Precision/encrYption
P2P
Peer-to-Peer
PBCH
Physical Broadcast CHannel
Probability Density Function
PDOP
Position DOP
PDP
Power Delay Profile
PF
Particle Filter
PHY
PHYsical layer
PRACH
Physical Random Access CHannel
PRN
Pseudo Random Noise
PRS
Positioning Reference Signal
PSK
Phase-Shift-Keying modulation
PSS
Primary Synchronization Sequence
PUCCH
Physical Uplink Control CHannel
PUSCH
Physical Uplink Shared CHannel
QAM
Quadrature Amplitude Modulation
QPSK
Quadrature Phase-Shift Keying
QZSS
Quasi-Zenith Satellite System
R-PF
Regularized PF
RAIM
Receiver Autonomous Integrity Monitoring
RAN
Radio Access Network
RDC
Reverse Differential Correlation
RF
Radio-Frequency
RFID
Radio-Frequency IDentification
RFPM
RF Patter Matching
RIMS
Ranging and Integrity Monitoring Station
RMS-RX
Root-Mean-Square Received Signal
RMSE
Root Mean Square Error
RRM
Radio Resource Management
RSCP
Received Signal Code Power
RSRP
Reference Signal Received Power
RSRQ
Reference Signal Received Quality
RSS
Received Signal Strength
RSSI
Received Signal Strength Indicator
RSTD
Reference Signal Time Difference
RTD
Real Time Difference
RTTOA
Round-Trip Time Of Arrival
RX
Receiver
SA
Selective Availability
SC-FDMA
Single-Carrier FDMA
SDS-TWR
Symmetric Double Sided Two Way Ranging
SET
SUPL Enabled Terminal
SFN
System Frame Number
SINR
Signal-to-Interference-and-Noise Ratio
SIR-PF
Sampling Importance Resampling PF
SISNeT
Signal-In-Space through the interNET
SLC
SUPL Location Center
SLmAP
SLM Application Protocol
SLP
SUPL Location Platform
SNR
Signal-to-Noise Ratio
SPC
SUPL Positioning Center
SRS
Sounding Reference Signal
SSS
Secondary Synchronization Sequence
STBC
Space-Time Block Code
SUPL
Secure User Plane Localization
TA
Timing Advance
TB
Tail Bit
TDD
Time-Division Duplex
TDMA
Time Division Multiple Access
TDOA
Time Difference of Arrival
TDOP
Time DOP
TIA
Telecommunications Industry Association
TOA
Time Of Arrival
TX
Transmitter
UE
User Equipment
UKF
Unscented KF
UL-RTOA
UpLink Relative Time of Arrival
UMTS
Universal Mobile Telecommunications System
UTC
Coordinated Universal Time
UTDOA
Uplink TDOA
UTOA
Uplink TOA
UTRA
UMTS Terrestrial Radio Access
UTRAN
UMTS Terrestrial Radio Access Network
UWB
Ultra-WideBand
VDOP
Vertical DOP
VLF
Very Low Frequency
W-CDMA
Wideband CDMA
WAAS
Wide Area Augmentation System
WiMAX
Worldwide Interoperability for Microwave Access
WLAN
Wireless LAN
WPAN
Wireless Personal Area Network
WSN
Wireless Sensor Network
The determination of position is an art that has fascinated scientists for centuries. First positioning methods were probably developed several millennia ago when people realized the necessity of knowing their position for systematic travel. Orientation at natural landmarks such as mountains, rivers, or coastlines are straightforward methods for that purpose. Early man made landmarks were trails and ways that were often built for trading, for example, the famous Silk Road, which has its origins around 500 B.C., and connected Europe and Eastern Asia. Other man made landmarks are lighthouses. They provide orientation in monotonous environments even at night, for example, for ships relatively close to the coastline. On the high seas, however, landmarks are missing. Keeping track of a journey by measuring direction and velocity, called the dead reckoning method, was the straightforward approach used by early ocean navigators. Celestial navigation is another method that utilizes well-known objects as position references. Measuring the angle of the pole star above the horizon directly provides the latitude. The major problem for a long time has been the determination of the longitude directly related to the exact measurement of time due to the Earth's rotation. As the Earth rotates around each day, a deviation of 4 s in time keeping results in a position error of that is 1 nautical mile or 1.852 km at the equator. At that time, the longitude problem was so severe that several prizes were offered for the development of more precise longitude determination methods. In 1714 the British government rewarded £10 000 for a method capable of determining the longitude within a range of 60 nm (nautical miles), £15 000 for a deviation of 40 nm and £20 000 for 30 nm during a six week journey to the West Indies. Famous scientists like Isaac Newton and Edmond Halley proposed and promoted the use of astronomic methods, that is, predictable astronomic occurrences, for time determination. The ‘lunar distance’ relative to a fixed star or the ecliptic of Jupiter's moons are such ideas. The invention of chronometers with sufficient accuracy solved the problem and made astronomical methods needless. In 1761 John Harrison's H.4 marine chronometer, constructed in 1759, showed a time deviation of 5 s during a five-week journey to Jamaica. All methods that at least partially rely on visual observations require clear sight. This limits the usability of these methods to certain times of a day or to good weather conditions. The discovery of radio waves in the late nineteenth century opened the door for the field of . Radio beacons take the role of man made landmarks. Radio frequency bands provide a propagation range exceeding that of visible light. Dependent on the frequency band, radio waves are able to travel through clouds or fog, or even propagate as ground waves over a long distance. This solved the range problem even for ground based radio navigation systems. Nowadays, satellite navigation systems provide global coverage with accuracy in the range of meters. Some of the positioning principles, however, remain the same as for traditional or celestial navigation. In particular these are angular methods, where the angle of arrival of radio waves are determined. Today, radio navigation is mainly based on radio propagation time measurements, by which the knowledge of propagation speed (speed of light) provides distance measures related to the radio beacons.
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Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
Lesen Sie weiter in der vollständigen Ausgabe!
