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Wagner Projects
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Acoustic Mission Planner (AMP)
for the MH-60R
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Under a multi-million dollar contract from
Lockheed Martin Systems Integration-Owego Wagner has
developed an Acoustic Mission Planner (AMP) for the Navy's new
MH-60R Multi-Mission Helicopter that is currently undergoing
flight testing. The algorithms used in AMP were
originally developed for the
MH-60R Decision Support System Testbed (DSST), under the
sponsorship of the Naval Air System Command, as part of a NSWC-DD
Phase III SBIR contract. (summary sheet) |
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Non-Gaussian Data Fusion System (NGDFS)
– Under a Phase II SBIR for the Office of Naval Research (ONR),
Wagner has developed a Non-Gaussian Data Fusion
System (NGDFS) that accurately fuses all of the Anti-Submarine
Warfare (ASW) and Surface Warfare (SUW) information available from
large numbers of sensors using non-Gaussian and multiple
hypothesis techniques along with computer resource optimization
algorithms and high-performance, but inexpensive hardware, to allow
computationally intensive data fusion processes to take place in
near-real-time.
A prototype version
of NGDFS is currently undergoing test and evaluation aboard the
USS Paul Hamilton, USS John S. McCain, USS Decatur, and USS Milius as part of the SQQ-89
Improved Performance Sonar (IPS) Data
Fusion Functional Segment (DFFS). An NGDFS based system will
also be the computational core of the Littoral Combat Ship (LCS) ASW
Mission Package Contact Management/Data Fusion (CM/DF) Mission
System. (summary
sheets) |
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Theater Undersea Warfare Initiative (TUSWI) Non-Gaussian Data Fusion
System (NGDFS) Web Services (TNGWS)
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Under an ONR contract (through a subcontract with Lockheed Martin
Orincon Defense), Wagner Associates is developing the Theater
Undersea Warfare Initiative (TUSWI) Non-Gaussian Data Fusion System
(NGDFS) Web Service (TNGWS) for CTF-12 TNGWS uses detailed
non-homogeneous environmental data generated by STAPLE, non-Gaussian
tracking algorithms, and non-Gaussian resource optimization
algorithms to predict the future location of high-interest targets
and to optimize search against these targets. (summary
sheet) |
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Decision Support for Dynamic Target Engagement (DS-DTE) –
Teamed with Penn State University and its Applied Research Lab, and
under a subcontract to Solers, Inc., Daniel H. Wagner Associates is
developing an
advanced information management architecture to provide timely and
accurate decision support during dynamic target engagement. This
agent-based information management process 1) receives and manages
information requests through a standard Web Service interface, 2)
attempts to retrieve information from the local data store, 3)
consolidates off-board requests to reduce message traffic, 4)
determines and invokes the optimal path to available information to
satisfy those requests, 5) invokes appropriate transformations on
returned information based on requester preferences, and 6)
synchronizes process state and information across federated nodes
using peer-to-peer (P2P) protocols. During Spiral Three of this
ongoing project for ONR, we have implemented the information
management process within the overall decision support architecture
for Maritime Dynamic Targeting (MDT).
(summary
sheet) |
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Object Avoidance for Unmanned Surface Vehicles (OAUSV) –
In
this project for NSWC-DD/NAVSEA Wagner is developing a system that
processes all available data, dynamically generates a Tactical
Picture, an optimal route, and an object avoidance plan, and
provides this information to the Unmanned Surface Vehicle (USV)
control system and its operators. A key capability provided by
OAUSV is the ability to fuse data obtained by off-board systems
(e.g., other ship’s/aircraft/UVs’ organic systems, Route Surveys,
MCM systems) with own-USV data in real-time. In addition, we
utilize the contact data fusion and environmental data fusion
algorithms developed in our Commander’s Estimate of the
Situation/Intelligence, Surveillance, and Reconnaissance Tactical
Decision Aid (CES/ISR TDA) and Current, Wind, and Wave Data Fusion
(CWWDF) projects for ONR to determine a recommended route for the
USV that minimizes vehicle vulnerability. The ability to
utilize non-own-USV data significantly improves the ability of the
USV to maneuver around potentially threatening objects and
dramatically reduces the number of false alarms. The primary
algorithmic techniques that are utilized in OAUSV are
non-Gaussian and multiple hypothesis data registration and fusion,
non-Gaussian optimization, and Bayesian inferential reasoning.
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Surface Warfare Tactical Decision Aid/Anti-Surface Warfare Tactical
Decision Aid (SUWTDA/ASUWTDA)
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The Surface Warfare Tactical Decision Aid (SUWTDA) is a tactical
decision aid for planning non-acoustic searches against surface
ships and submarines. The initial build of this system, known as
ASUWTDA, was integrated as a segment of the Global Command and
Control System-Maritime (GCCS-M), and deployed with the John F.
Kennedy, George Washington, Stennis, Eisenhower, and Enterprise
battlegroups. This program, which first went to sea in January
1997, has received high praise in official traffic from flag level
warfare commanders and has been credited with helping plan highly
successful exercise operations against normally very difficult
Orange opponents. SUWTDA maintains comprehensive databases of Navy
platform and sensor types with detection tables for all common sizes
and classes of non-acoustic targets. It permits users to establish
a local database of platforms and associated sensors. It permits
the user to automatically generate an optimal plan for an entire
day’s mission with multiple sorties, in a single step. The
optimization algorithms account for the special nature of the uncued
surveillance problem, and in particular account for the fact that
the targets must usually be relocated and loosely tracked. If a
day’s operations have begun, or if specific platforms are assigned
search areas by other authority, then the operator has the
opportunity to include or exclude sorties in the optimization
process. This makes it easy to re-plan only a portion of the day’s
mission. The system also provides displays to permit the operator
to evaluate the adequacy of the assigned surveillance assets. A
two-dimensional “clearance map” shows, in color, the detection
achieved in portions of the area of interest. A time-referenced
“effectiveness graph” shows clearance objective curves for different
sub-areas as a function of time, superimposed on a sortie Gantt
chart. In follow-on work we have implemented a server for
generating radar effectiveness estimates using in-situ data, and
demonstrated the use of SUWTDA and this server in Fleet Battle
Experiment-Echo (FBE-E). In addition, we have recently developed a
simplified PC version, which is currently managed by Tactical
Training Group Pacific (TTGP) for Third Fleet. (summary
sheet) |
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Commander’s Estimate of the Situation and
Intelligence, Surveillance, and Reconnaissance Tactical Decision
Aid (CES/ISR TDA)
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Wagner was awarded a Phase II Small Business Innovative Research (SBIR)
effort with Science Applications International Corporation (SAIC)
as a subcontractor to develop a full-scale Mine Warfare (MIW)
CES/ISR TDA for eventual transition into the Mine Warfare and
Environmental Decision Aids Library (MEDAL) system. |
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Combat Air
Identification Fusion Algorithm (CAIFA) – Wagner
was recently awarded a follow on BAA contract sponsored by the Office
of Naval Research (ONR) to enhance CAIFA, a Bayesian Network-based
reasoning algorithm used to create and maintain an accurate air picture
by providing a common algorithm for
theater-wide identification. (summary
sheet) |
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Expeditionary
Warfare Decision Aids Engineering and Development Support - MEDAL,
JCA, EDSS
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Wagner was
awarded a
subcontract by SAIC to provide support to the development and
modification of Mine and Expeditionary Warfare planning and decision
aids software for MEDAL, the Joint Countermine
Application (JCA), and the Expeditionary Warfare Decision Support
System (EDSS). |
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Environmental Data Fusion for Mine Warfare (EDFMCM) and Current,
Wind, and Wave Data Fusion (CWWDF)
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Wagner, with SAIC as a subcontractor, developed several systems for Mine Countermeasures (MCM) to
significantly improve the ability of Naval MCM forces to carry out
their missions through the more effective use of available
environmental data to accurately estimate the bottom, acoustic
propagation, electro-magnetic propagation, and current, wind and
wave conditions in the area of interest. (summary
sheets) |
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Ground
Attack Data Fusion and Optimization System (GADFOS) and Ground
Target Tracking Identification System (GTIS)
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In these
projects for AFRL/IFEA, Daniel H. Wagner Associates, Inc. developed a
prototype system for accurately fusing all available information using Bayesian inferential
reasoning, multiple hypothesis association, and
non-Gaussian tracking techniques;
along with computer resource optimization algorithms and
high-performance, inexpensive hardware to allow this computationally
intensive data fusion process to take place in near-real-time. In
these projects we
showed how such a system for processing data from large numbers of
diverse Ground Moving Target Indicator (GMTI), Signals Intelligence
(SIGINT), Imagery Intelligence (IMINT), Measurement and Signature
Intelligence (MASINT), and Human Intelligence (HUMINT) sensors and
sources can be developed, and demonstrated its feasibility and
effectiveness using demonstration software and simulated data
obtained from AFRL and CECOM. Such a data fusion capability is
especially important in urban, mountainous, and forested areas,
where contact on the targets, even with a large number of sensors,
will be intermittent. (summary
sheet) |
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SOAPi
Services™ – Large Scale Integration of Distributed Systems Exposed
as SOAP-Based Web Services
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This Phase II
SBIR project has demonstrated efficient and effective agent-based
services for military communities of interest (COI) operating on
network-centric architectures. Building on the commercial world
concept of the enterprise service bus (ESB, the ABS architecture
defines a data-centric framework for efficient utilization of all
available assets in network-centric applications. Software agents
on the architecture 1) organize all available information into COI-specific
knowledge domains (using common, extensible, commercially supported,
and standards-based formats), 2) provide translation and brokering
services for individual systems, and 3) provide local and remote
end-users with relevant, customized products (e.g., fused
visualizations). The ABS architecture has guided the development of
several COI-specific implementations, including the agent-based
Theater Undersea Warfare Initiative (TUSWI) Non-Gaussian Data Fusion
System (NGDFS) Web Service (TNGWS) that utilizes sophisticated
legacy data fusion and resource optimization algorithms, running on
a Linux cluster at the Maui High-Performance Computing Center (MHPCC),
to provide recommended asset allocations, search effectiveness maps,
and location estimates for high-interest targets to the Theater
Undersea Warfare Initiative (TUSWI) system in the Pacific.
Additional ABS implementations include support for distributed
search planning at the NASA missile test facility at Wallops Island,
VA, and agent-based data fusion for the SQQ-89 Improved Performance
Sonar (IPS) Data Fusion Functional Segment (DFFS).
In other software agent work,
Wagner was awarded three Phase I SBIR contracts to develop
software agents to assist in military operations. Two of the
contracts are for the Office of the Secretary of Defense (OSD),
run out of the Air Force Research Lab (AFRL) at Rome, NY, and the
third is for the Army, run out of Aberdeen Proving Ground, MD. The
two OSD projects call for agent development in Weather Web and
Information Integration Web, which are components of the Smart
Sensor Web (SSW) initiative. It is our goal in these projects to
develop specialized agents that will demonstrate the forces on
developing specialized agents to assist logistics personnel in
their daily operations. (summary
sheets) |
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Target Tracking
and Classification System (TTCS)
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In this Phase I SBIR project for NAVSEA, Wagner developed a prototype Target Tracking and
Classification System (TTCS) for fusing all available data using
Bayesian inferential reasoning, multiple hypothesis
association, non-Gaussian tracking and non-Gaussian
registration techniques. In Phase I of this project we showed
how such a system for processing data from large numbers of
diverse acoustic receivers (operating in both passive and
multi-static active modes), and ISR sensors can be developed, and
demonstrated its feasibility and effectiveness using demonstration
software and both simulated and real-world data. Such a data fusion capability is especially
important in highly cluttered littoral areas, where contact on the
targets, even with a large number of sensors, will be
intermittent. |
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Cooperative
Organic Mine Defense (COMID)
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For the Cooperative Organic Mine Defense (COMID) project for the
Office of Naval Research (ONR), Daniel H. Wagner Associates, Inc.
has developed prototype data registration algorithms and tested them
using simulated data along with real-world AQS-20X and Kingfisher data. The
algorithm worked quite well on all of the data and we produced a
report describing these results. We also developed a data
registration testbed. |
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Anti-Torpedo Data Fusion and
Optimization System (ATDOS)
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In this project
for ONR, Wagner is developing a prototype Anti-Torpedo Data Fusion
and Optimization System (ATDOS) for fusing all available data
concerning anti-torpedo defense using Bayesian inferential
reasoning, multiple hypothesis association, Gaussian sum
and non-Gaussian tracking, and non-Gaussian registration
techniques. We are also developing a non-Gaussian
optimization module for optimizing the use of active sensors
to detect incoming torpedoes. |
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Tactical
Environmental Effects for Precision Guided Missiles (METPLAN)
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During a Phase II Small Business Innovation and
Research (SBIR) project for the Navy, we developed a prototype
agent-based system called METPLAN. The system is designed to
increase the effectiveness of PGMs by automatically integrating
environmental data and weapon-specific and mission-specific
environmental effects into the mission planning process. The
METPLAN prototype consists of a Core agent and Operator software
agents. The Core is written in Java and is responsible for
retrieving and managing (including archiving for post mortem)
the environmental data from local and remote sources. The Core makes use of an “intelligent cache” that
provides management of local data requests to minimize the
amount of reachback performed for each data retrieval
independent of the number and types of platforms and weapons in
the plan. Each Operator agent is responsible for interfacing
with the end-user, managing data requirements and requests,
monitoring end-user mission planning and providing displays
(within the Portable Flight Planning System, PFPS). We focused
Operator agent design toward the Joint Standoff Weapon (JSOW)
using an open COM architecture that could be modified for any
weapon or platform. The weapon-specific and mission-specific
displays from the Operator agent detail environmental impacts
on mission plan success. For example, instead of displaying
wind data as a graphical overlay on a JSOW route (e.g., Joint METOC Viewer), METPLAN displays a red/yellow/green JSOW route
based on the amount of range lost or gained by head- or
tailwinds over the course of the missile flight. METPLAN also
allows the end-user to “drill-down” into the data by clicking on
any point on FalconView to retrieve the winds, temperature,
etc. By automatically providing environmental impacts on the
mission, while providing drill-down capability for further
details, METPLAN increases the amount of information available
to the mission planner without increasing the amount of time
required to plan the mission. (summary
sheet)
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Range Surveillance, Planning, Optimization, and Real-Time
Effectiveness (R-SPORTE) System
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Under a Computer Sciences Corporation (CSC)
purchase order, Wagner Associates is developing the Range
Surveillance, Planning, Optimization, and Real-Time
Effectiveness (R-SPORTE) System for the Wallops (Island) Flight
Facility (WFF). R-SPORTE will assist WFF in ensuring that the
missile test range is clear of any vessels that could be hit by
missile debris, by computing the clearance level in the range
(i.e., the conditional probability that targets of interest
would have been detected, if present). Since R-SPORTE can
receive real-time platform/sensor position feeds, this clearance
picture can be updated based on actual platform/sensor
position/status data. R-SPORTE can also recommend search areas
for the available platforms/sensors. R-SPORTE uses Wagner’s
Agent-Based Services (ABS) architecture. (summary
sheet) |
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