Agena Wargame & Air defense Simulation

Wargame & Air Defense
Simulation Model Library

Agena Information & Defense Systems Ltd.
Simulation Model Categories
Platforms
Communication
Systems
C2 Systems Sensor Systems Weapon Systems
Damage
Assessment

More Intelligent Models
Commander
•Decision making using
•Knowledge base
•Reasoning mechanism
Mission Planner
•Goal oriented agent
design
•Applying commitment
strategies
•Selecting alternative way
to succeed goal,
•Target assessment
TEWA Optimization
•Target-Weapon couples
•Evaluation Criteria
Selection
•Extendable evaluation
criteria
•Non-linear optimization
Missions
•Air Tasking Order
•Maritime Tasking
•Land Forces Missions
•Joint Operations

Commander/Intelligent Entity
 Commander is an intelligent agent. A commander
basically;
 Controls
 Decides
 Uses
 Uses communication devices, sensors and any other
models related.
 It is possible to import sensory data as detections
It is used in different forms such as as a human
commander or a C2 center to manage a wargame.

Commander/Intelligent Entity
 Commander model
 Controls
 ACO areas
 Decides
 IFF query
 Fire decision
 Identification
 Decision level sensory data fusion
 Uses
 IFF device
 Wireless communication device
 Launchers (missiles)
 Sensory systems
 CAOC models undertakes
 Creating ATO
 Distributing ATO to the fleets
 Planning ATO implementation phases
 Asserting ACO areas
 C2 Models
 Commander
 CAOC
 ATO
 ACO

Weapon Systems
Weapon Models
 Weapon Models
 SAM (Surface to Air Missiles)
 AAA (Anti-Aircraft Artillery)
 Aerodynamic Missiles
 TASM (Tactic Air to Surface
Missile)
 ARM (Anti-Radiation Missile)
 Cruise Missiles (CM)
 Ammunitions
Dynamic Weapon Models
 Dynamic Weapon Models
 Thrust Models
 Gravity and Coriolis Models
 Aerodynamic Models
 Guidance Models
 Phase transitions
 Control Models
 Effect type descriptions
Consists of firing systems such as launchers, AAA, weapon magazines and Ammunitions

Weapon Systems Resolution
 6DOF, 4DOF and 3DOF missile models
 With Air breathing and non-air breathing Engine
simulation
 Guidance algorithms
 Verified thrust and maneuver computations

Sensor Systems
 Radar
 Verified and Valid, Equation based radar systems
 Infrared/ electro –optic
 Daycam
 Thermal Cam
 Laser Range Finder
 Passive Sensors
 IFF (Identification Friend Foe)

Platforms
Movable Platforms
 Non-movable Platforms
 Launchers
 Movable Platforms
 Land based platforms
 Sea Platforms
 Outerspace Platforms
 Air Platforms (Fixed wing,
Rotary Wing, UAV)
 Create and follow the routes
 Consume energy
 can carry other models such as
radars, platforms depending on the
rule base prepared in MDT.
 As all other models, they can have
relation with other models, such as
“carries”
• Land Platforms
• Sea Platforms
• Air Platforms
• Fixed Wings
• Rotary Wings
• 6 DOF Aircraft models
Not just movable entities, also they constitutes a facilities
consisting of plenty of entities.

Platforms
 Table based movement
 Importing and exporting fly out tables
 Surface platform interaction
 For aircraft engine power and function based fuel
consuming
 For All types of platforms, look up table based fuel
consumption.
 Landing, stalling, parking etc.

Facilities
 Buildings
 Runways
 Shelters
 C2 Facilities
 Energy Stations

Mission Planner
 Air Forces
 ATO-Air Tasking Order (suitable with NATO standard)
 Generates ATO in NATO standard and mission planner
autonomously execute it.
 Run time ATO update and dynamic planning is possible.
 Navy
 Land Forces

Mission for Coalation Battlefield
 Corps Battle Simulations
 Air warfare simulation
 Tactical simulations
 Combat Service Support Training Simulation Systems
 JEW
 ENWGS
 MTWS
 Defending assets

TEWA: Target Evaluation & Weapon
Assignment
 Target Evaluation Weapon Assignment
 Weapon – target assignment,
 Target evaluation,
 Fire doctrine,
 Calculation munitions effect,
 Taking munitions inventory into account
 Probability of kill (Pk) calculation,
 Weapon fire time scheduling

Fire Coordination
Central fire Coordination
• There is a single C2 unit
for target assessment
and to give fire order.
• Subordinate
commanders share their
intelligence (detection
info) with the
commander at the
upper layer.
Coordinated Fire
• Coordinated command
units share their
intelligence with each
others, evaluate targets
and the most suitable
one engages with the
target.
Autonomous Fire
• Each command unit is
charge of himself.
• Just detect-evaluate
fire.

Communication Systems
 Wireless communication systems
 HF, VHF, RF
 Communication loss computations
 Validated using ITU (international Communication Union stanndarts)
 Wired communication systems
 Phone
 Pabx
 Link communication
 Capable of executing protocols and instance messaging
 Purging messages
 TDMA Device
 Multi channel wireless communication

Satellites
 extend line-of-sights for communication devices,
 Carry electro optical sensors
 Communicate ground based command centers

Special Purpose Models
Damage Model Missile
Deployment
Analysis Model
Optimizer

Damage Model
DamageFunction
Probabilistic
Function
based
CellularModeling
Entities are
modeled
3D cells
form
(cellular
modeling)
LooseBehavior
Behaviors
Associated
to cells
RepairFunction
Behavior
regain
function

Damage Model
 Munition effect types and effect function definition
 User defined effect types; blast, heat, etc.
 Function and probability based effect definition
 Damage calculation
 Cellular based damage computation,
 Total damage is the level the entity is dead.
 Critical damage level is the level the entity loose behavioral
capabilities.
 Each cell is associated with a set of behaviors.
 A damaged cell cancel or suspends related behaviors,
 Total damage and critical damage levels are defined,

Damage Model::Repairing
 Repair Functions
 Time based repair function definition
 At each time unit, the entity repair its related cell and
recover the behaviors related with the cell.

Missile Deployment Analysis Model
 The aim of the model is to manage simulation scenario created to
analyze and draw a broad effectiveness picture
 Analysis types
 Footprint analysis for BM
 Operating area
 Defended area analysis
 The Model, itself, handles the simulation scenario,
 placing BM on scenario map,
 gridding the areas to be measured defense degree,
 setting sensory system working mode (cueing is on/off),
 setting fire doctrines to the launchers
 taking statistics
The analysis aims to draw footprint of a missile
system. Estimate the best case.

Analysis Types
 Footprint analysis for BM
 Parallel footprint analysis
 Non-Parallel foot print analysis
 Plain world and spherical world
 Operating area
 Fire Doctrine
 C2 structures
 Defended area selection
 High value asset definitions
 Defended area analysis
 Fire Doctrine
 C2 structures
 Movable entities
Cueing messages among
sensors
Engage using remote
data selection

Some of Statistics Measured
 Defense success ratio for each cell,
 Hit ratios,
 Engagement points and engagement distances
 Communication latencies
 Duration on the air for missiles

Optimizer
 Path planning
 In mission plan, optimizing the paths to
 avoid ACO regions and land zones,
 Minimize detectability
 Save energy
 Maximize damages on enemy targets
 Weapon target assignment optimization
 To make the best weapon target couples.
 To select the best Pk point
 To save munition
 To maximize damage on the target coupled
The Optimizer
manages scenario
entity selections and
drive their behaviors.

Scenario
Execution
Visualization

Google Earth
 For a 3D scenario visualization opportunity, Google is
used depending on user choice.

Tactical Picture Display Model
 The model is used to create tactical Picture according to;
 Commanders and C2 Centers perspectives
 Real ground truth
 Fused sensory data based tactical picture
 3D Cam & 3D models

Simulation Controller
 Manages simulation execution;
 Create new replications
 Execution plan for each configuration
 Inserts and removes simulation entities in run-
time to the scenario being executed
 Execution speed regulation (as-fast-as possible,
real-time, etc.). It changes simulation execution
speed depending on user defined constraints.

Simulink Adapter
 AdSiF provides a robust interface to manage
Matlab/Simulink models.
 It sends data to Matlab/Simulink, receives data from
Matlab/Simulink.
 And also starts, stops and pauses Matlab/Simulink
execution.
 It Works on a distributed environment.

TCP/IP & UDP Adapter
 The model provides an interface to
 Distribute simulation models on paralell machines
 Communicate distributed simulation/agent model on a
network
 Communicate even with real systems as a real system
adapter

Real System Adapter
 The model provides an interface using TCP/IP & UDP
Adapter model and regulates simulation execution to
real time any time interacting with a real system.

Online Analysis Model
 The model provides functions and interfaces to calculate scenario
statistics on line (in scenario execution time) and to make decisions for
the scenario being executed.
 The Decisions are related with managing simulation models in the
scenario, altering scenario resources, terminating or replicating the
scenario, and a wide set of behavior user defined.

User Interaction Console
 The model provides a graphical user
interface to interact simulation models in a
scenario being executed via messaging.

Interfaces to
Simulation
Environments

STK
 Provides a model to communicate with STK system for
ballistic missile analysis.

Simdis
 AdSiF-Simdis model provides an interface for SIMDIS to
visualize simulation execution.

write us
hocaoglu@agenabst.com
info@agenabst.com
LinkedIn Group: AdSiF-Simulationists

Agena Wargame & Air defense Simulation

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