SlideShare a Scribd company logo
1 of 7
Download to read offline
CHAPTER 1
Introduction
1.1. What is EMA3100A Target Motion Simulator
EMA3100A Target Motion Simulator, is a compact, user-friendly and powerful multipurpose engineering
tool with target tracking data generation and motion modeling functionalities capable of operating in 2D
and 3D Cartesian Coordinates, in Range-Azimuth, Range-Elevation, Azimuth-Elevation Polar
Coordinates.
2 Chapter 1 Introduction
EMA3100A Target Motion Simulator currently supports two project types which are
 Target Tracking Projects (TTP)
 Motion Modeling Projects (MMP)
By Motion Modeling Projects (MMP), motions are modeled and paths forming a trajectory are created in
Cartesian domain or polar domain. By Target Tracking Projects (TTP), target tracking data generation for
more than one target with different activation and initial position offsets are created under user selected
sensor measurement and missing data conditions.
Both Motion Modeling Projects (MMP) and Target Tracking Projects (TTP) can be created;
 In 2D Cartesian Coordinates
 In 3D Cartesian Coordinates
 In Polar Coordinates (Range-Azimuth)
 In Polar Coordinates (Range-Elevation)
 In Polar Coordinates (Azimuth-Elevation)
and with planned extensions
 In Spherical Coordinates
 In GPS Framework (Latitude-Longitude-Altitude)
3
Motion Modeling Projects (MMP) consists of mainly six basic stages;
 Selecting Project Type
 Defining Path Creation Method
 Defining and Modeling the Paths
 Configuration Check
 Animated or Static Trajectory Viewer Graphical Outputs
 Combining Paths in Any Order to Create Final Trajectory
which are all detailed in Chapter 4, Motion Modeling Projects. Similarly, Target Tracking Projects (TTP)
consistsof mainly six basic stages;
 Selecting Project Type
 Defining and Configuring Targets
 Defining Sensor Measurement Models and Missing Data Models
 Defining Trajectories, Trajectory Generating Functionals or Combining Paths forming
the Trajectory
 Configuration Check
 Simulation Supported with Animated or Static SimPanel Graphical Outputs
which are all detailed in Chapter 5, Target Tracking Projects
4 Chapter 1 Introduction
Apart from creating and working with Motion Modeling and Target Tracking Projects, EMA3100A
Target Motion Simulator provides some standalone tools (without a need for project creation) which are
 Path Modeler
 Path Combiner
 Trajectory Viewer
 SM Modeler
 MD Modeler
detailed in Chapter 6, Using EMA3100A TMS Tools.
EMA3100A Target Motion Simulator, Path Modeler is the tool for modeling the paths by using one of the
methods
 By Known Functions and SPToM
 By TOP and SPToM
 By SOP and SPToM
 By V Vectors and SPToM
 By A Vectors and SPToM
5
EMA3100A Target Motion Simulator, Path Combiner is the tool for combining paths created previously
or format converted external path files
6 Chapter 1 Introduction
EMA3100A Target Motion Simulator, Trajectory Viewer is the tool for viewing and analyzing individual
paths or combined paths as trajectories
EMA3100A Target Motion Simulator, Sensor Measurement Modeler is the tool for generating sensor
measurement models by using currently available
 Beta
 Cauchy
 Chi-Square
 Erlang
 Exponential
 Gamma
 Gaussian
 Laplace
 Lognormal
 Uniform
 Weibull
distributions and second order characterizations along with time frame models.
7

More Related Content

What's hot

Computer Vision for Traffic Sign Recognition
Computer Vision for Traffic Sign RecognitionComputer Vision for Traffic Sign Recognition
Computer Vision for Traffic Sign Recognitionthevijayps
 
Design and Identification of the Train Model in Automatic Train Operation (AT...
Design and Identification of the Train Model in Automatic Train Operation (AT...Design and Identification of the Train Model in Automatic Train Operation (AT...
Design and Identification of the Train Model in Automatic Train Operation (AT...IJRES Journal
 
TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...
TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...
TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...cseij
 
IRJET- Simulation and Kinematic Analysis of MTAB ARISTO Robot
IRJET-  	  Simulation and Kinematic Analysis of MTAB ARISTO RobotIRJET-  	  Simulation and Kinematic Analysis of MTAB ARISTO Robot
IRJET- Simulation and Kinematic Analysis of MTAB ARISTO RobotIRJET Journal
 
Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...
Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...
Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...CSCJournals
 
CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...
CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...
CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...Ijripublishers Ijri
 

What's hot (6)

Computer Vision for Traffic Sign Recognition
Computer Vision for Traffic Sign RecognitionComputer Vision for Traffic Sign Recognition
Computer Vision for Traffic Sign Recognition
 
Design and Identification of the Train Model in Automatic Train Operation (AT...
Design and Identification of the Train Model in Automatic Train Operation (AT...Design and Identification of the Train Model in Automatic Train Operation (AT...
Design and Identification of the Train Model in Automatic Train Operation (AT...
 
TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...
TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...
TRAFFIC-SIGN RECOGNITION FOR AN INTELLIGENT VEHICLE/DRIVER ASSISTANT SYSTEM U...
 
IRJET- Simulation and Kinematic Analysis of MTAB ARISTO Robot
IRJET-  	  Simulation and Kinematic Analysis of MTAB ARISTO RobotIRJET-  	  Simulation and Kinematic Analysis of MTAB ARISTO Robot
IRJET- Simulation and Kinematic Analysis of MTAB ARISTO Robot
 
Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...
Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...
Autonomous Path Planning and Navigation of a Mobile Robot with Multi-Sensors ...
 
CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...
CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...
CPREDICTION OF INVERSE KINEMATICS SOLUTION OF A REDUNDANT MANIPULATOR USING A...
 

Similar to EMA3100A Target Motion Simulator User Guide - Chap1-Introduction

Egniya ema3100 a_ugps_eng_03
Egniya ema3100 a_ugps_eng_03Egniya ema3100 a_ugps_eng_03
Egniya ema3100 a_ugps_eng_03Engin Gul
 
Egniya ema3100 a_ugps_eng_04
Egniya ema3100 a_ugps_eng_04Egniya ema3100 a_ugps_eng_04
Egniya ema3100 a_ugps_eng_04Engin Gul
 
EMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User Interface
EMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User InterfaceEMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User Interface
EMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User InterfaceEngin Gul
 
Egniya ema3100 a_ugps_eng_06
Egniya ema3100 a_ugps_eng_06Egniya ema3100 a_ugps_eng_06
Egniya ema3100 a_ugps_eng_06Engin Gul
 
EMA3100A Target Motion Simulator Quick Fact Sheet
EMA3100A Target Motion Simulator Quick Fact SheetEMA3100A Target Motion Simulator Quick Fact Sheet
EMA3100A Target Motion Simulator Quick Fact SheetEngin Gul
 
EMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS Tools
EMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS ToolsEMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS Tools
EMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS ToolsEngin Gul
 
Egniya ema3100 a_pf_v1
Egniya ema3100 a_pf_v1Egniya ema3100 a_pf_v1
Egniya ema3100 a_pf_v1Engin Gul
 
Egniya ema3100 a_ugps_eng_05
Egniya ema3100 a_ugps_eng_05Egniya ema3100 a_ugps_eng_05
Egniya ema3100 a_ugps_eng_05Engin Gul
 
Traffic sign recognition
Traffic sign recognitionTraffic sign recognition
Traffic sign recognitionAKR Education
 
Reply 1 EMA model for Traffic managementTop of Fo
Reply 1 EMA model for Traffic managementTop of FoReply 1 EMA model for Traffic managementTop of Fo
Reply 1 EMA model for Traffic managementTop of Fofelipaser7p
 
Egniya ema3100 a_ugps_eng_02
Egniya ema3100 a_ugps_eng_02Egniya ema3100 a_ugps_eng_02
Egniya ema3100 a_ugps_eng_02Engin Gul
 
A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...
A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...
A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...cscpconf
 
TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNN
TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNNTRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNN
TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNNIRJET Journal
 
parking space counter [Autosaved] (2).pptx
parking space counter [Autosaved] (2).pptxparking space counter [Autosaved] (2).pptx
parking space counter [Autosaved] (2).pptxAlbertDaleSteyn
 
Arindam batabyal literature reviewpresentation
Arindam batabyal literature reviewpresentationArindam batabyal literature reviewpresentation
Arindam batabyal literature reviewpresentationArindam Batabyal
 
[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in CapellaObeo
 
Model Execution and System Simulation
Model Execution and System SimulationModel Execution and System Simulation
Model Execution and System SimulationObeo
 
IRJET- Traffic Sign Classification and Detection using Deep Learning
IRJET- Traffic Sign Classification and Detection using Deep LearningIRJET- Traffic Sign Classification and Detection using Deep Learning
IRJET- Traffic Sign Classification and Detection using Deep LearningIRJET Journal
 

Similar to EMA3100A Target Motion Simulator User Guide - Chap1-Introduction (20)

Egniya ema3100 a_ugps_eng_03
Egniya ema3100 a_ugps_eng_03Egniya ema3100 a_ugps_eng_03
Egniya ema3100 a_ugps_eng_03
 
Egniya ema3100 a_ugps_eng_04
Egniya ema3100 a_ugps_eng_04Egniya ema3100 a_ugps_eng_04
Egniya ema3100 a_ugps_eng_04
 
EMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User Interface
EMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User InterfaceEMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User Interface
EMA3100A Target Motion Simulator User Guide - Chap2-EMA3100A TMS User Interface
 
Egniya ema3100 a_ugps_eng_06
Egniya ema3100 a_ugps_eng_06Egniya ema3100 a_ugps_eng_06
Egniya ema3100 a_ugps_eng_06
 
EMA3100A Target Motion Simulator Quick Fact Sheet
EMA3100A Target Motion Simulator Quick Fact SheetEMA3100A Target Motion Simulator Quick Fact Sheet
EMA3100A Target Motion Simulator Quick Fact Sheet
 
EMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS Tools
EMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS ToolsEMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS Tools
EMA3100A Target Motion Simulator User Guide - Chap6-Using EMA3100A TMS Tools
 
Egniya ema3100 a_pf_v1
Egniya ema3100 a_pf_v1Egniya ema3100 a_pf_v1
Egniya ema3100 a_pf_v1
 
Egniya ema3100 a_ugps_eng_05
Egniya ema3100 a_ugps_eng_05Egniya ema3100 a_ugps_eng_05
Egniya ema3100 a_ugps_eng_05
 
A046010104
A046010104A046010104
A046010104
 
Traffic sign recognition
Traffic sign recognitionTraffic sign recognition
Traffic sign recognition
 
Reply 1 EMA model for Traffic managementTop of Fo
Reply 1 EMA model for Traffic managementTop of FoReply 1 EMA model for Traffic managementTop of Fo
Reply 1 EMA model for Traffic managementTop of Fo
 
Egniya ema3100 a_ugps_eng_02
Egniya ema3100 a_ugps_eng_02Egniya ema3100 a_ugps_eng_02
Egniya ema3100 a_ugps_eng_02
 
A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...
A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...
A Much Advanced and Efficient Lane Detection Algorithm for Intelligent Highwa...
 
TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNN
TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNNTRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNN
TRAFFIC SIGN BOARD RECOGNITION AND VOICE ALERT SYSTEM USING CNN
 
journal nakk
journal nakkjournal nakk
journal nakk
 
parking space counter [Autosaved] (2).pptx
parking space counter [Autosaved] (2).pptxparking space counter [Autosaved] (2).pptx
parking space counter [Autosaved] (2).pptx
 
Arindam batabyal literature reviewpresentation
Arindam batabyal literature reviewpresentationArindam batabyal literature reviewpresentation
Arindam batabyal literature reviewpresentation
 
[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella[Capella Day 2019] Model execution and system simulation in Capella
[Capella Day 2019] Model execution and system simulation in Capella
 
Model Execution and System Simulation
Model Execution and System SimulationModel Execution and System Simulation
Model Execution and System Simulation
 
IRJET- Traffic Sign Classification and Detection using Deep Learning
IRJET- Traffic Sign Classification and Detection using Deep LearningIRJET- Traffic Sign Classification and Detection using Deep Learning
IRJET- Traffic Sign Classification and Detection using Deep Learning
 

More from Engin Gul

MHT Multi Hypothesis Tracking - Part3
MHT Multi Hypothesis Tracking - Part3MHT Multi Hypothesis Tracking - Part3
MHT Multi Hypothesis Tracking - Part3Engin Gul
 
MHT Multi Hypothesis Tracking - Part2
MHT Multi Hypothesis Tracking - Part2MHT Multi Hypothesis Tracking - Part2
MHT Multi Hypothesis Tracking - Part2Engin Gul
 
MHT Multi Hypothesis Tracking - Part1
MHT Multi Hypothesis Tracking - Part1MHT Multi Hypothesis Tracking - Part1
MHT Multi Hypothesis Tracking - Part1Engin Gul
 
Kalman Filtering
Kalman FilteringKalman Filtering
Kalman FilteringEngin Gul
 
Multi Object Filtering Multi Target Tracking
Multi Object Filtering Multi Target TrackingMulti Object Filtering Multi Target Tracking
Multi Object Filtering Multi Target TrackingEngin Gul
 
Sequential Monte Carlo (SMC) and Particle Filters
Sequential Monte Carlo (SMC) and Particle FiltersSequential Monte Carlo (SMC) and Particle Filters
Sequential Monte Carlo (SMC) and Particle FiltersEngin Gul
 
MTT Gating and Validation
MTT Gating and ValidationMTT Gating and Validation
MTT Gating and ValidationEngin Gul
 
NN-Nearest Neighbor and PDAF-Probabilistic Data Association Filters
NN-Nearest Neighbor and PDAF-Probabilistic Data Association FiltersNN-Nearest Neighbor and PDAF-Probabilistic Data Association Filters
NN-Nearest Neighbor and PDAF-Probabilistic Data Association FiltersEngin Gul
 
MTT Data Association
MTT Data AssociationMTT Data Association
MTT Data AssociationEngin Gul
 
Introduction to Multi Object Filtering, Multi Target Tracking
Introduction to Multi Object Filtering, Multi Target TrackingIntroduction to Multi Object Filtering, Multi Target Tracking
Introduction to Multi Object Filtering, Multi Target TrackingEngin Gul
 
Bayesian Inference and Filtering
Bayesian Inference and FilteringBayesian Inference and Filtering
Bayesian Inference and FilteringEngin Gul
 
Single Object Filtering, Single Target Tracking
Single Object Filtering, Single Target TrackingSingle Object Filtering, Single Target Tracking
Single Object Filtering, Single Target TrackingEngin Gul
 
EMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking Projects
EMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking ProjectsEMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking Projects
EMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking ProjectsEngin Gul
 
EMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling Projects
EMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling ProjectsEMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling Projects
EMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling ProjectsEngin Gul
 
EMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMS
EMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMSEMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMS
EMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMSEngin Gul
 
EMA3100A Target Motion Simulator User Guide - Chap0-Content
EMA3100A Target Motion Simulator User Guide - Chap0-ContentEMA3100A Target Motion Simulator User Guide - Chap0-Content
EMA3100A Target Motion Simulator User Guide - Chap0-ContentEngin Gul
 
EMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and Graphics
EMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and GraphicsEMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and Graphics
EMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and GraphicsEngin Gul
 
Egniya ema3100 a_ugps_eng_08
Egniya ema3100 a_ugps_eng_08Egniya ema3100 a_ugps_eng_08
Egniya ema3100 a_ugps_eng_08Engin Gul
 
Egniya ema3100 a_ugps_eng_07
Egniya ema3100 a_ugps_eng_07Egniya ema3100 a_ugps_eng_07
Egniya ema3100 a_ugps_eng_07Engin Gul
 
Egniya ema3100 a_ugps_eng_09
Egniya ema3100 a_ugps_eng_09Egniya ema3100 a_ugps_eng_09
Egniya ema3100 a_ugps_eng_09Engin Gul
 

More from Engin Gul (20)

MHT Multi Hypothesis Tracking - Part3
MHT Multi Hypothesis Tracking - Part3MHT Multi Hypothesis Tracking - Part3
MHT Multi Hypothesis Tracking - Part3
 
MHT Multi Hypothesis Tracking - Part2
MHT Multi Hypothesis Tracking - Part2MHT Multi Hypothesis Tracking - Part2
MHT Multi Hypothesis Tracking - Part2
 
MHT Multi Hypothesis Tracking - Part1
MHT Multi Hypothesis Tracking - Part1MHT Multi Hypothesis Tracking - Part1
MHT Multi Hypothesis Tracking - Part1
 
Kalman Filtering
Kalman FilteringKalman Filtering
Kalman Filtering
 
Multi Object Filtering Multi Target Tracking
Multi Object Filtering Multi Target TrackingMulti Object Filtering Multi Target Tracking
Multi Object Filtering Multi Target Tracking
 
Sequential Monte Carlo (SMC) and Particle Filters
Sequential Monte Carlo (SMC) and Particle FiltersSequential Monte Carlo (SMC) and Particle Filters
Sequential Monte Carlo (SMC) and Particle Filters
 
MTT Gating and Validation
MTT Gating and ValidationMTT Gating and Validation
MTT Gating and Validation
 
NN-Nearest Neighbor and PDAF-Probabilistic Data Association Filters
NN-Nearest Neighbor and PDAF-Probabilistic Data Association FiltersNN-Nearest Neighbor and PDAF-Probabilistic Data Association Filters
NN-Nearest Neighbor and PDAF-Probabilistic Data Association Filters
 
MTT Data Association
MTT Data AssociationMTT Data Association
MTT Data Association
 
Introduction to Multi Object Filtering, Multi Target Tracking
Introduction to Multi Object Filtering, Multi Target TrackingIntroduction to Multi Object Filtering, Multi Target Tracking
Introduction to Multi Object Filtering, Multi Target Tracking
 
Bayesian Inference and Filtering
Bayesian Inference and FilteringBayesian Inference and Filtering
Bayesian Inference and Filtering
 
Single Object Filtering, Single Target Tracking
Single Object Filtering, Single Target TrackingSingle Object Filtering, Single Target Tracking
Single Object Filtering, Single Target Tracking
 
EMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking Projects
EMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking ProjectsEMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking Projects
EMA3100A Target Motion Simulator User Guide - Chap5-Target Tracking Projects
 
EMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling Projects
EMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling ProjectsEMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling Projects
EMA3100A Target Motion Simulator User Guide - Chap4-Motion Modeling Projects
 
EMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMS
EMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMSEMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMS
EMA3100A Target Motion Simulator User Guide - Chap3-Working with EMA3100A TMS
 
EMA3100A Target Motion Simulator User Guide - Chap0-Content
EMA3100A Target Motion Simulator User Guide - Chap0-ContentEMA3100A Target Motion Simulator User Guide - Chap0-Content
EMA3100A Target Motion Simulator User Guide - Chap0-Content
 
EMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and Graphics
EMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and GraphicsEMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and Graphics
EMA3100A Target Motion Simulator User Guide - Chap7-GraphPanel and Graphics
 
Egniya ema3100 a_ugps_eng_08
Egniya ema3100 a_ugps_eng_08Egniya ema3100 a_ugps_eng_08
Egniya ema3100 a_ugps_eng_08
 
Egniya ema3100 a_ugps_eng_07
Egniya ema3100 a_ugps_eng_07Egniya ema3100 a_ugps_eng_07
Egniya ema3100 a_ugps_eng_07
 
Egniya ema3100 a_ugps_eng_09
Egniya ema3100 a_ugps_eng_09Egniya ema3100 a_ugps_eng_09
Egniya ema3100 a_ugps_eng_09
 

Recently uploaded

MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxupamatechverse
 
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular ConduitsUNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduitsrknatarajan
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Dr.Costas Sachpazis
 
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlyKubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlysanyuktamishra911
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTINGMANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTINGSIVASHANKAR N
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingrknatarajan
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...ranjana rawat
 
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its PerformanceUNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performancesivaprakash250
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINESIVASHANKAR N
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations120cr0395
 
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and PropertiesGlass Ceramics: Processing and Properties
Glass Ceramics: Processing and PropertiesPrabhanshu Chaturvedi
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdfankushspencer015
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordCCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordAsst.prof M.Gokilavani
 

Recently uploaded (20)

MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
 
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular ConduitsUNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduits
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
 
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghlyKubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
 
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and RoutesRoadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTINGMANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
MANUFACTURING PROCESS-II UNIT-1 THEORY OF METAL CUTTING
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
 
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its PerformanceUNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performance
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
 
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and PropertiesGlass Ceramics: Processing and Properties
Glass Ceramics: Processing and Properties
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdf
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordCCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
 

EMA3100A Target Motion Simulator User Guide - Chap1-Introduction

  • 1. CHAPTER 1 Introduction 1.1. What is EMA3100A Target Motion Simulator EMA3100A Target Motion Simulator, is a compact, user-friendly and powerful multipurpose engineering tool with target tracking data generation and motion modeling functionalities capable of operating in 2D and 3D Cartesian Coordinates, in Range-Azimuth, Range-Elevation, Azimuth-Elevation Polar Coordinates.
  • 2. 2 Chapter 1 Introduction EMA3100A Target Motion Simulator currently supports two project types which are  Target Tracking Projects (TTP)  Motion Modeling Projects (MMP) By Motion Modeling Projects (MMP), motions are modeled and paths forming a trajectory are created in Cartesian domain or polar domain. By Target Tracking Projects (TTP), target tracking data generation for more than one target with different activation and initial position offsets are created under user selected sensor measurement and missing data conditions. Both Motion Modeling Projects (MMP) and Target Tracking Projects (TTP) can be created;  In 2D Cartesian Coordinates  In 3D Cartesian Coordinates  In Polar Coordinates (Range-Azimuth)  In Polar Coordinates (Range-Elevation)  In Polar Coordinates (Azimuth-Elevation) and with planned extensions  In Spherical Coordinates  In GPS Framework (Latitude-Longitude-Altitude)
  • 3. 3 Motion Modeling Projects (MMP) consists of mainly six basic stages;  Selecting Project Type  Defining Path Creation Method  Defining and Modeling the Paths  Configuration Check  Animated or Static Trajectory Viewer Graphical Outputs  Combining Paths in Any Order to Create Final Trajectory which are all detailed in Chapter 4, Motion Modeling Projects. Similarly, Target Tracking Projects (TTP) consistsof mainly six basic stages;  Selecting Project Type  Defining and Configuring Targets  Defining Sensor Measurement Models and Missing Data Models  Defining Trajectories, Trajectory Generating Functionals or Combining Paths forming the Trajectory  Configuration Check  Simulation Supported with Animated or Static SimPanel Graphical Outputs which are all detailed in Chapter 5, Target Tracking Projects
  • 4. 4 Chapter 1 Introduction Apart from creating and working with Motion Modeling and Target Tracking Projects, EMA3100A Target Motion Simulator provides some standalone tools (without a need for project creation) which are  Path Modeler  Path Combiner  Trajectory Viewer  SM Modeler  MD Modeler detailed in Chapter 6, Using EMA3100A TMS Tools. EMA3100A Target Motion Simulator, Path Modeler is the tool for modeling the paths by using one of the methods  By Known Functions and SPToM  By TOP and SPToM  By SOP and SPToM  By V Vectors and SPToM  By A Vectors and SPToM
  • 5. 5 EMA3100A Target Motion Simulator, Path Combiner is the tool for combining paths created previously or format converted external path files
  • 6. 6 Chapter 1 Introduction EMA3100A Target Motion Simulator, Trajectory Viewer is the tool for viewing and analyzing individual paths or combined paths as trajectories EMA3100A Target Motion Simulator, Sensor Measurement Modeler is the tool for generating sensor measurement models by using currently available  Beta  Cauchy  Chi-Square  Erlang  Exponential  Gamma  Gaussian  Laplace  Lognormal  Uniform  Weibull distributions and second order characterizations along with time frame models.
  • 7. 7