Different GNSS (Global Navigation Satellite System) Receiver’s combination and its Spatial Information Analytics

125 International Journal for Modern Trends in Science and Technology
Volume: 2 | Issue: 04 | April 2016 | ISSN: 2455-3778IJMTST
Different GNSS (Global Navigation Satellite
System) Receiver’s combination and its
Spatial Information Analytics
Shruthi H O 1
| Dr. Bindu A Thomas 2
1Electronics and communication, VVIET, Mysuru, Karnataka, India
2 Electronics and communication, VVIET, Mysuru, Karnataka, India
Paper Setup must be in A4 size with Margin: Top 1.1 inch, Bottom 1 inch, Left 0.5 inch, Right 0.5 inch,
The greater part of the modern GNSS receiver are able to guarantee a fair positioning performance almost
everywhere. The aim is to investigate the effective potentialities of GNSS sensor such as GPS, GLONASS and
to make a statistical analysis of these receivers. The continuous increase of the number of GNSS multi-
constellation station will give a good opportunity to improve accuracy and precision levels. The system is
based on sensors, Arm cortex, and personal computer. Positioning data which includes both longitude and
latitude is extracted using NMEA protocol of the receiver. The extracted data will be displayed and saved on
personal computer and retrieved later. Each receiver sensor is analyzed, statistically characterized and its
error probabilities are obtained.
KEYWORDS: GNSS, GPS, GLONASS, DOP, NMEA
Copyright © 2015 International Journal for Modern Trends in Science and Technology
All rights reserved.
I. INTRODUCTION
Navigation is a field of study that focuses on the
process of monitoring and controlling the
movement of a craft or vehicle from one place to
another. The field of navigation includes four
general categories; they are land navigation,
marine navigation, aeronautic navigation, and
space navigation. It is also the term of art used for
the specialized knowledge used by navigators to
perform navigation tasks. All navigational
techniques involve locating the navigator's
position compared to known locations or patterns.
Modern technique for navigation includes
electronic navigation. Electronic navigation covers
any method of position fixing using electronic
means, which includes Radio navigation, Radar
navigation, and Satellite navigation. Radio
navigation uses radio waves to determine position
by either radio direction finding systems or
hyperbolic systems, such as Decca,
Omega and LORAN-C. Radar navigation uses
radar to determine the distance from or bearing of
objects whose position is known. This process is
separate from radar's use as a collision avoidance
system. Satellite navigation uses artificial earth
satellite systems, such as GPS, to determine
position. A satellite navigation or satnav system is
a system of satellites that provide autonomous
geo-spatial positioning with global coverage. It
allows small electronic receivers to determine
their location (longitude, latitude,
and altitude/elevation) to high precision (within a
few meters) using time signals transmitted along
a line of sight by radio from satellites. The signals
also allow the electronic receiver to calculate the
current local time to high precision, which allows
time synchronization. A satellite navigation
system with global coverage may be termed
a global navigation satellite system (GNSS). GNSS
is a satellite system that is used to pinpoint the
geographic location of a user's receiver anywhere
in the world. GNSS systems are currently in
operation are the United States' Global Positioning
System (GPS) and the Russian Federation's Global
Orbiting Navigation Satellite System (GLONASS).
A third, Europe's Galileo, reached full operational
capacity in 2008. BeiDou-1,Chinese regional
(Asia-Pacific, 16 satellites) network which will
consist of 35 satellites by 2020. The Indian
Regional Navigational Satellite System (IRNSS) is
an autonomous regional satellite navigation
ABSTRACT

Different GNSS (Global Navigation Satellite System) Receiver’s combination and its Spatial
Information Analytics
system being developed by Indian Space Research
Organization (ISRO) which would be under the
total control of Indian government. The
Quasi-Zenith Satellite System (QZSS) satellite
regional time transfer system and enhancement
for GPS covering Japan.
The examination of errors figured when using
GNSS is essential to know how GNSS performs
function, and also to know how much error can be
acceptable. The GNSS modifies the recipient clock
mistakes and different impacts however some are
leftover that has to be rectified. They are climatic
error such as ionosphere obstruction and
multipath propagation impact, large DOP values,
ephemeris and clock error and disturbance that
occurs in receiver. The clocks present in GNSS are
very exact, but still float in little range.
Lamentably, little incorrectness in clock affects a
huge blunder in the position computed by the
recipient. For instance, 10 nanoseconds of
mistakes results in 2.5 meters of position
inaccuracy. Ionosphere layer is between 90 km to
650 km over the earth. This layer consists of ions.
These particles defer the signals of satellites and
thus bring lot of position mistake. Normally ±5
meters, yet can be additionally increases during
high ionosphere action. The troposphere layer is
nearest to the Earth. Delay occurs in this layer is
due to moistness, heat and barometrical weight.
Multipath propagation occurs while the signal
travels towards antenna. These error occurs due
large buildings, trees etc, which delays the signals
to reach particular antenna. Dilution of Precision
(DOP) is the additional impact on satellite position
determination. Large the DOP values more will be
the position error occurs.
A. Existing System
The United States Department of Defense (DoD)
has developed the Navstar GPS, which is an
all-weather, space based navigation system to
meet the needs of the USA military forces and
accurately determine their position, velocity, and
time in a common reference system, anywhere on
or near the Earth on a continuous basis. GPS has
made a considerable impact on almost all
positioning, navigation, timing and monitoring
applications. It provides particularly coded
satellite signals that can be processed in a GPS
receiver, allowing the receiver to estimate position,
velocity and time. The U.S. Department of Defense
strives to maintain the integrity and reliability of at
least twenty-four satellites in the GPS network.
Using GPS only, users will typically observe four to
eight GPS satellites at any one time, which is
adequate for determining a receiver’s position in
most obstruction-free environments. This cause
major error in the determination of position
accurately. Therefore combining GNSS receivers
will increase the accuracy. Some of the major
advantages of GNSS over existing GPS are
 More satellites to track, which can increase
receiver accuracy and reliability
 A shorter warm-up time (known as “time to first
fix”)
 Reduced delay in recomposing a position if
satellite signals are temporarily blocked by
obstructions
 The ability to compute a position in situations
that were previously too difficult for a
standalone GPS receiver operation—especially
near tree lines, buildings, large obstacles, etc.
II. METHODOLOGY USED TO EXTRACT GNSS DATA
Fig 2.1: GNSS receiver architecture
Signal in space (SIS) coming from the GNSS
satellite is received through antenna of the sensor
as shown in figure 2.1. Radio frequency is used
between 1 to 2GHZ. Data obtained will be in the
form of NMEA data. The National Marine
Electronics Association (NMEA) has developed a
specification that defines the interface between
various pieces of marine electronic equipment.
Most computer programs that provide real time
position information understand and expect data
to be in NMEA format. This data includes the
complete PVT (position, velocity, time) solution
computed by GNSS receiver. The idea of NMEA is
to send a line of data called a sentence that is
totally self contained and independent from other
sentences. All NMEA sentences is sequences of
ACSII symbols begins with a '$' and ends with a
carriage return/line feed sequence and can be no
longer than 80 characters of visible text (plus the
line terminators). Table 2.1 shows the
communication configuration specifications.

Volume: 2 | Issue: 04 | April 2016 | ISSN: 2455-3778IJMTST
Table 2.1: Configuration Specifications
Typical baud
rate
9600
Data bits 8
Parity None
Stop bit 1(or
more)
Handshaking None
III. METHODS FOR USING SPATIAL DATA
Statistical analysis requires a combination of
quantitative and qualitative analysis. Qualitative
analysis is fundamental, and a quantitative
analysis, which is the core of statistical analysis, is
based on the precision of the qualitative analysis.
According to different nature of statistical analysis
contents, there are kinds of methods can be used.
They are state analysis, factor analysis, link
analysis, trend analysis, decision analysis,
multi-level analysis.
State analysis can be subdivided into a number
of different types of properties: static analysis,
dynamic analysis, a state analysis of simple
totality, a state analysis of complex totality. Index
method can also be used for static analysis, such
as analysis of the degree of completion of the
project, which is a static analysis index. Factor
analysis is a quantitative analysis of the factors,
elements and the internal compositions that
determine the development conditions of things.
This is the most common analysis in statistical
analysis. Socio-economic phenomena are
interrelated. Causation, proportional, and
balanced relations are in the presence of these
associates. Correlation analysis uses the
interrelated socio-economic phenomenon to
analyze the numerical relations in order to study
the regularity. Methods of trend analysis include
both mathematical models, such as the trend line
method, and non-mathematical model, such as
the time expanding method and average moving
method cooperating with the trend line method.
Decision analysis is that people analyze,
investigate, and compare different things to find
optimization goals and actions to achieve program
objectives optimally under certain conditions.
Some problem is relatively simple, one or two
levels will be able to analyze the problem clearly.
Some issues are more complex, multi-level
analysis and layers of anatomy need to be used to
find the nature and law issues. For multi-level
analysis, each level must go through qualitative –
quantitative - qualitative analysis.
A. DOP (Dilution of Precision)
The main purpose of stating DOP is to know
about how errors may influence the last state
approximation. Thus it is expressed as
In a perfect world little changes in the deliberate
information won't bring about vast changes in
yield area, in that capacity an outcome would
demonstrate the arrangement is extremely
sensitive mistakes. If the satellite in view are far
apart DOP value will be high, if the satellite in view
are close together DOP will be low. Table 3.1
shows the DOP values explanations. DOP includes
HDOP (Horizontal Dilution of Precision), VDOP
(Vertical Dilution of Precision), PDOP (Position
Dilution Of precision), TDOP (Time Dilution Of
Precision). The impact of satellite geometry in the
position blunder is known as geometric DOP. For
instance consider a pyramid structure formed by
joining satellites from the receiver end. Larger the
volume good DOP values will be getting, smaller
the volume worst DOP value will be obtained.
B. DOP Calculation
HDOP (Horizontal Geometric Dilution of
Precision), GDOP, PDOP and VDOP can be known
by geometry of the present satellites from the view
of receivers. DOP values will be worse by the
obstacle such as large buildings, vehicles etc. In
order to compute DOP values, consider x, y, z as
position of receiver and , , position of the
satellite i. Thus matrix Y is given by
The initial three components of the column of A
are the parts of a unit vector from the recipient to
the showed satellite. The components in the
fourth segment are c which means the speed of
light which is always one. If it is -1 then it should
be computed properly. Formulate matrix Q, as
Q=
Where Q is given by

Different GNSS (Global Navigation Satellite System) Receiver’s combination and its Spatial
Information Analytics
Thus PDOP, TDOP and GDOP can be calculated as
Table 3.1: DOP ranges explanation
C. HDOP versus VDOP
Large the number of satellites utilized as a part of
the arrangement, littler the DOP values and
subsequently littler the error. An accurate HDOP
values without error occurred will be between one
and two. VDOP contains the value higher than
HDOP. VDOP is more because the signal is
received above the receiver. This indicates that
position error occurs more due to VDOP. HDOP
performs less error because signals are received
from all the sides. If the earth were transparent to
radio waves, then vertical directions would have
same exactness as horizontal coordinates. VDOP
accuracy can also be progressed by using accurate
clock at the receiver. HDOP and VDOP values are
also affected by higher latitudes (north or south)
values. This is because number of satellites for
view in high region will be low. The main reason,
the satellite can incline only for 55 degrees that is,
it is not at all possible to get the satellite directly at
latitude north of 55 degrees north (or south of 55
degrees south). DOP values will still be more even
if the satellites are more in mid latitude, because
of heavy forest. This obstruction does not allow
tracking the signals.
IV. CONCLUSION AND FUTURE ENHANCEMENT
Global Navigation Satellite Systems (GNSS)
technology has become vital to many applications
that range from city planning engineering and
zoning to military applications. It has been widely
accepted globally by governments and
organizations. The impressive progress in wireless
communications and networks has played a great
role in increasing interest in GNSS and providing
enabling methodologies and mechanisms. Thus if
there is a necessary of accurate positioning,
combined receiver should be used than GPS or
GLONASS alone. The GNSS can be future
enhanced for indoor environment. This can be
done by impressive progress in wireless
communications and networks in increasing
interest in GNSS and providing enabling
methodologies and mechanisms.
REFERENCES
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[2] DaeHee won, Eunsung Lee,Moonbeomtteo,
Seung-woo Lee, Jiyon Lee, Jeongraekim,
Sangkyungsung and Young Jae Lee, “Selective
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Weighted DOP under GNSS-Challenged
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[3] AnjaGrosch and BoubekerBelabbas,”Parametric
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[4] Gerhard Hejc, Jochenseitz, Thorsten Vaupel,
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