Test and Evaluation System: Two Nurjana applications for instrumented test range: Multi Sensor Central Control System and Mobile Trial Simulator Unit

1. MSCCS
and
MTSU
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MSCCS
System Overview
The Multi Sensor
Central Control Station
is a system used as
control and data-fusion
station for real-time
data acquired from
optical and radar
sensors.
The MSCCS can filter,
triangulate, correlate
and represent data
from different
acquisition systems.
The sensors can be
associated to different
tracking chains
separately configurable.
Besides real-time features MSCCS integrates also several functionalities and tools such as an inter-chain
miss distance calculator, data reprocessing, ballistic prediction and deployment optimizer modules.

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MSCCS
System Overview
MSCCS works as a mobile command and
control system, that coordinates sets of
different types of sensors such as:
- Optical Sensors;
- Radars
- Multy Sensor Platform
MSCCS receives, fuses and triangulates data
from all the sensors, displaying the
computed trajectories. Furthermore, MSCCS
is able to provide slaving data back to the
sensors.
The MSCCS system is entirely designed and
developed by NurjanaTechnologies.

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MSCCS
Operative 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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MSCCS
System Modes
MSCCS provides five “System Modes”:
1. Operation Configuration: this mode provides support for configuring various activities. It is possible to
change mission and scenario settings, navigate the loaded map, customize the map details to display and
access 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/fusion
algorithms 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 also
possible 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 star
pointing slaving data in order to calculate the angular difference between the current sighting and the
theoretical one.
5. System Configuration: this mode allows the user to manage user accounts, network settings and
system backup/restore.

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MSCCS
OperationConfiguration
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 toTool 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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MSCCS
Tracking
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 ofTSPI data;
visualization of theTSPI 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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MSCCS
Playback
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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MSCCS
Tools - 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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MSCCS
Tools - 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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MTSU
System Overview
The Mobile Trial Simulator Unit (MTSU) is a standalone mobile system, designed to
fully support the trial operations in mobile mode when the facilities of the Control
Center are not available.
MTSU provides advanced features for trajectories prediction and sensors placement
optimization. All the system functionalities are realized implementing advanced
proprietary algorithms, and developed in order to optimize accuracy, efficiency and
speed 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 user
can set up a ballistic simulation with a few clicks or test the placement and distribution
of the various sensors throughout the area.
MTSU has a simple and intuitive interface, which perfectly fits with advanced
computing infrastructure. The physical and mathematical models used for the
simulations are developed and continuously updated to the state of the art by Nurjana
Team.
MTSU, is designed to be easily integrated with the other NT products (es. MSCCS)

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MTSU
System 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 inputTrajectory.
Sensors Deployment Optimization,
that produces as output a sensors
deployment that minimizes the Tracking
error.

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MTSU
System Overview
All the MTSU main features are totally integrated with a simple and powerful user
interface.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 and
Impact points using the drag&drop mouse commands directly on theTactical Map.
Configure every detail of Scenarios and Missions;
Enable/Disable components and functions such as Map layers, Digital Elevation
Model 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 technical
specification;
Configure all the administration features of the system such as user privileges with
high granularity level;
Configure all the system preferences (Default Coordinate System, Layer, Elements
Appearance).

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MTSU
System 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 input
functions required by the ballistic algorithms. All the polynomials coefficients, used for
aerodynamic and fitting factors, are correctly validated and the resulting functions are
plotted in dedicated windows. The system will warn the user in case of discontinuity or
inconsistency of the input data.
MTSU
Ballistic Predictor
The ballistic models that are fully supported in MTSU Ballistic
Predictor 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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MTSU
Ballistic Predictor
The Ballistic Simulation is totally integrated with:
An advanced Meteorological Module, used to compute the atmospheric data in each
point interested in the computation. In particular the operator can choose between two
types 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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MTSU
Ballistic 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 correct
values of ΔAzimuth and Quadrant Elevation of a Shot
Point, in order to produce a simulation that hits a given
impact point.
The required input data used in a Backwards simulation
are:
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-fire
solution.
Indirect Fire: ballistic trajectory
Another relevant parameter is the Tolerance Distance.
It is used to define a valid solution into a circle of a
desired radius from the Impact Point.
.
MTSU
Backwards Simulator

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The Sensors Deployment Test module provides a simple way to test arbitrary optical sensors placements
with respect to a scenario and a particular trajectory.
MTSU
DeploymentTester and Report
The tester module will produce a numeric value associated to the mean tracking error and a report with
detailed 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 determine
the target dimension in the related optical sensor frame. The operator is able to evaluate the goodness of
the current placement and to estimate the tracking error, eventually comparing sub-optimal solutions
and 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
TargetVelocity/ Acceleration
Target dimension and orientation.

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MTSU
Deployment Optimizer
The main purpose of the Deployment Optimizer is
to produce an optimal placement for a set of
sensors, that minimizes the tracking error for a
given Trajectory. The module, through a state-of-
art non-linear optimization algorithm, evaluates in
an iterative way the tracking error estimated by
the Test module. It will determine, at the end of the
computation, which would be the best possible
deployment for the current sensors.
The Deployment Optimizer can be also used to
optimize the sensors positions with respect of a
set of Trajectories or some portion of them. The
optimization process can be also performed using
constraints such as geographic boundaries that will
limit the domain in a region of interest.
At the end of the Optimization process an output containing the calculated positions for the
selected sensors is generated. The new positions of the sensors will guarantee best tracking
performances, 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 related
to the current operation, such as:
MTSU
Fully 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.