MSCCSand

MTSU

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MSCCSSystem Overview

The Multi SensorCentral Control Stationis a system used ascontrol and data-fusionstation for real-timedata acquired fromoptical and radarsensors.The MSCCS can filter,triangulate, correlateand represent datafrom differentacquisition systems.The sensors can beassociated to differenttracking chainsseparately configurable.

Besides real-time features MSCCS integrates also several functionalities and tools such as an inter-chainmiss distance calculator, data reprocessing, ballistic prediction and deployment optimizer modules.

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MSCCSSystem Overview

MSCCS works as a mobile command andcontrol system, that coordinates sets ofdifferent types of sensors such as:

- Optical Sensors;- Radars- Multy Sensor Platform

MSCCS receives, fuses and triangulates datafrom all the sensors, displaying thecomputed trajectories. Furthermore, MSCCSis able to provide slaving data back to thesensors.

The MSCCS system is entirely designed anddeveloped by Nurjana Technologies.

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MSCCSOperative Modes

MSCCS can work in different operating modes:

Mobile

in Mobile mode MSCCS can be used as a

standalone command and control

system.

Fixed

operating mode is used in contexts in

which the system will be used in its

functions of date-fusion and must be

interlocked in respect to an external

system of command and control.

V-MSP

mode in which separate instances of

MSCCS will have to check, within a

network, different MSP systems (Radar

+ EOS).

Slave

monitor mode used for displaying data

from another MSCCS.

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MSCCSSystem Modes

MSCCS provides five “System Modes”:

1. Operation Configuration: this mode provides support for configuring various activities. It is possible tochange mission and scenario settings, navigate the loaded map, customize the map details to display andaccess different tools features such as the ballistic predictor and the EOS optimizator.

2. Tracking: in this mode the data coming from the sensors is processed by means of triangulation/fusionalgorithms and the trajectories output shown on the map. Main features include: real-time miss distance,T0 from different input sources, mission recording and transmission of slaving data to external systems.

3. Playback: the mode allows to load a previously recorded mission and review it on the map. It is alsopossible to use the data reprocessing tool to apply the triangulation algorithms to external post-processed data.

4. Star Check: in this mode it is possible to evaluate the current sensors precision by sending them starpointing slaving data in order to calculate the angular difference between the current sighting and thetheoretical one.

5. System Configuration: this mode allows the user to manage user accounts, network settings andsystem backup/restore.

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MSCCSOperation Configuration

Operation Configuration mode features include:

� mission/scenario/EOS configuration;� measurament tools and coordinate conversions;� support for multiple layers and formats (e.g. ESRI shape files);� T0 input (manual, LAN packet, TTL);� navigation of the loaded map;� customization of the map details to display;� access to Tool features such as the ballistic predictor, the way point editor and the EOS position

optimizator;� loading of a nominal trajectory calulated with the ballistic predictor;� waypoints and predefined points.

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MSCCSTracking

� access to the EOSs/radar TSPI and

statuses;

� computation of a three

dimensional trajectory by means

of proprietary triangulation and

sensor fusion algorithms;

� velocity, accelaration and pseudo-

attitude real-time computation;

� calculation of the tracked objects

miss distance value;

� forwarding of the computed

information in real time to other

external systems and subsystems ;

� capability of real time dedicated filtering of TSPI data;

� visualization of the TSPI tracked data through 2D/3D real-time plots ;

� recording of the current mission storing the whole real-time data with

the possibility of playback

� ballistic trajectory real-time simulation upon T0 input.

The main features available in Tracking mode are:

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MSCCSPlayback

With the Playback mode it is possible to load a

previously recorded mission and review it on the

map. Advanced filter options to ease the

searching process are provided.

Through the Data Reprocessing Tool it is possible

to re-compute a recorded mission with the FAS

getting an outputfile.

The re-computed data are displayed in real time

on the map during the reprocessing.

MSCCS provides the user with the possibility of

exporting the relevant recorded and pre-

processed mission data.

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MSCCSTools - Data Reprocessing

The Data Reprocessing module is used as post-

processing tool by MSCCS. This module re-

computes a recorded mission using a set of files

produced by an external FAS (Flight Analysis

System).

� The Data Reprocessing module reads the FAS

output for each sensor and camera, in order

to acquire the adjusted azimuth/elevation

data.

� Once the user selects the time ranges of

interest, the system reprocesses the files, re-

triangulating the data according with the

current mission loaded in the MSCCS;

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MSCCSTools - Star Check

The Star Check mode performs an evaluation of

the pointing error of a sensor using astronomical

calculations.

MSCCS calculates the theoretical orientation that

the sensor should use to point a particular star.

The angular error between the current sight and

the theoretical one will estimate the sensor

precision.

MSCCS Star Check supports:

� a large dataset of stars;

� an API connection (if available) to the

sensor in order to point automatically

toward the selected star;

� A report generation with a detailed

description of the peformed calculations.

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MTSUSystem Overview

The Mobile Trial Simulator Unit (MTSU) is a standalone mobile system, designed tofully support the trial operations in mobile mode when the facilities of the ControlCenter are not available.

MTSU provides advanced features for trajectories prediction and sensors placementoptimization. All the system functionalities are realized implementing advancedproprietary algorithms, and developed in order to optimize accuracy, efficiency andspeed of computations.

The MTSU is fully customizable and adaptable to any environment. The mission-oriented interface allows to quickly manage different missions and scenarios. The usercan set up a ballistic simulation with a few clicks or test the placement and distributionof the various sensors throughout the area.

MTSU has a simple and intuitive interface, which perfectly fits with advancedcomputing infrastructure. The physical and mathematical models used for thesimulations are developed and continuously updated to the state of the art by NurjanaTeam.

MTSU, is designed to be easily integrated with the other NT products (es. MSCCS)

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MTSUSystem Overview

MTSU system is currently designed to perform:

Advanced Trajectory Prediction for

projectiles or rigid bodies. Trajectory

prediction generates an output that

includes detailed information about

Time-Space position information and a

set of other relevant data such as

instantaneous mass, velocity,

acceleration and attitude of the object.

Backwards Simulation, that generates a

valid couple of Azimuth and Elevation

values for the Launcher, in order to hit a

desired target point.

Sensors Deployment Test, that

simulates a tracking process for a given

Trajectory, producing a detailed Tracking

Report for the current optical sensors

placement. The report will contain a

large set of Tracking information for

each piece of the input Trajectory.

Sensors Deployment Optimization,

that produces as output a sensors

deployment that minimizes the Tracking

error.

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MTSUSystem Overview

All the MTSU main features are totally integrated with a simple and powerful userinterface. Through the GUI it is possible to manage every single aspect of the system.

� Create, manipulate, move and delete elements such as Shot Points, Sensors andImpact points using the drag&drop mouse commands directly on the Tactical Map.

� Configure every detail of Scenarios and Missions;

� Enable/Disable components and functions such as Map layers, Digital ElevationModel Support or Scattered Meteo Point interpolation.

� Manage every single parameter of the Ballistic and Backwards Simulation;

� Configure the sensor models in order to fit them with the desired technicalspecification;

� Configure all the administration features of the system such as user privileges withhigh granularity level;

� Configure all the system preferences (Default Coordinate System, Layer, ElementsAppearance).

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MTSUSystem Overview

Inactive Sensor

Sensor

Impact Point

Shot Point

Trajectory

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MTSU provides all the graphical User interfaces needed to create and validate the inputfunctions required by the ballistic algorithms. All the polynomials coefficients, used foraerodynamic and fitting factors, are correctly validated and the resulting functions areplotted in dedicated windows. The system will warn the user in case of discontinuity orinconsistency of the input data.

MTSUBallistic Predictor

The ballistic models that are fully supported in MTSU BallisticPredictor are:

� Point Mass;� Modified Point Mass for Spin Stabilized Projectiles and Base

Burn Projectiles;� 5 Degrees of Freedom for Fin Stabilized Rockets and Easy

Fin Stabilized Rockets.

MTSU implements an

Advanced Ballistic Prediction

Engine. The Ballistic

Prediction Module allows the

computation of a Trajectory

based on a Shot Point

Configuration related to a

specific Scenario.

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MTSUBallistic Predictor

The Ballistic Simulation is totally integrated with:

� An advanced Meteorological Module, used to compute the atmospheric data in eachpoint interested in the computation. In particular the operator can choose between twotypes of Meteo Model:

ICAO Standard Atmoshpere with

Temperature offset (defined in the Manual Of

the ICAO Standard Atmosphere – Third Edition

– 1993);

Scattered Atmosphere by which the user

defines a set of scattered atmospheric points

as input of the Model. Using an adaptive

weighted interpolation, a meteorological

model will be computed for the entire space

interested in the computation. This is

recommended to use with hundreds of points

sampled from a sounding device.

� The Digital Elevation Model (DEM) of the territory. MTSU is currently provided with

support of the SRTM elevation maps.

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MTSUBallistic Predictor

The ballistics aerodynamic coefficients and the fitting factors can be inserted in two different

ways as function of a specific domain (e.g. Mach Number or Quadrant Elevation):

� as sum of polynomials

� as sampled value. A polynomial interpolation with customizable grade will be

automatically performed by MTSU.

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The Backwards Simulator Tool computes the correctvalues of ΔAzimuth and Quadrant Elevation of a ShotPoint, in order to produce a simulation that hits a givenimpact point.

The required input data used in a Backwards simulationare:

� a shot point,� an impact point;

� a meteo model.

The User can chose between two desired solution:

� Direct Fire: traditionally this is the line-of-firesolution.

� Indirect Fire: ballistic trajectory

Another relevant parameter is the Tolerance Distance.It is used to define a valid solution into a circle of adesired radius from the Impact Point.

.

MTSUBackwards Simulator

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The Sensors Deployment Test module provides a simple way to test arbitrary optical sensors placementswith respect to a scenario and a particular trajectory.

MTSUDeployment Tester and Report

The tester module will produce a numeric value associated to the mean tracking error and a report withdetailed information about the visibility and the tracking of the object for each piece of the trajectory.The algorithm will select the best couple of sensors with the related camera at each step and determinethe target dimension in the related optical sensor frame. The operator is able to evaluate the goodness ofthe current placement and to estimate the tracking error, eventually comparing sub-optimal solutionsand excluding non-optimal solutions.

A proprietary algorithm for will evaluate

as input a given space-time trajectory and

a specific deployment of sensors,

simulating the tracking error produced by

each piece of the trajectory. The algorithm

takes into account:

� Triangulation error

� LOS Distance

� Pan-tilt dynamics

� EOS-Target Intervisibility

� Target Velocity/ Acceleration

� Target dimension and orientation.

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MTSUDeployment Optimizer

The main purpose of the Deployment Optimizer isto produce an optimal placement for a set ofsensors, that minimizes the tracking error for agiven Trajectory. The module, through a state-of-art non-linear optimization algorithm, evaluates inan iterative way the tracking error estimated bythe Test module. It will determine, at the end of thecomputation, which would be the best possibledeployment for the current sensors.

The Deployment Optimizer can be also used tooptimize the sensors positions with respect of aset of Trajectories or some portion of them. Theoptimization process can be also performed usingconstraints such as geographic boundaries that willlimit the domain in a region of interest.

At the end of the Optimization process an output containing the calculated positions for theselected sensors is generated. The new positions of the sensors will guarantee best trackingperformances, reducing the triangulation error and improving the quality of the acquisition.

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The system options interface allows the user to quickly change different parameters relatedto the current operation, such as:

MTSUFully Customizable User Options

� Scenario and Mission related options

such as preferred Coordinate System,

UTM Zone of the Scenario, NO-DEM

default altitude;

� Element parameters configured as

model: Sensors, Launchers, Projectiles,

Impact points and Shot Points

parameters can be saved as model,

exported and used in different missions;

� General Configuration parameters such

as layers appearance or default

behavior options of the system.

The system options windows and the Elements properties can be edited by the

Administrator and/or the Operator, on the basis of the user access privileges. In fact, in

addition to the three basic user access levels (Super Admin, Admin and Operator), it is

possible to grant or deny additional privileges to specific users. In these way the

administrator can manage users establishing permissions on the basis of the operator’s

skills and knowledge.