NVESD is developing a Sensor Data and Management Services (SDMS) Service Oriented Architecture (SOA) that
provides an innovative approach to achieve seamless application functionality across <i>simulation and battle command</i>
systems. In 2010, CERDEC will conduct a SDMS Battle Command demonstration that will highlight the SDMS SOA
capability to couple simulation applications to existing Battle Command systems. The demonstration will leverage
RDECOM MATREX simulation tools and TRADOC Maneuver Support Battle Laboratory Virtual Base Defense
Operations Center facilities. The battle command systems are those specific to the operation of a base defense
operations center in support of force protection missions.
The SDMS SOA consists of four components that will be discussed. An Asset Management Service (AMS) will
automatically discover the existence, state, and interface definition required to interact with a named asset (sensor or a
sensor platform, a process such as level-1 fusion, or an interface to a sensor or other network endpoint). A Streaming
Video Service (SVS) will automatically discover the existence, state, and interfaces required to interact with a named
video stream, and abstract the consumers of the video stream from the originating device. A Task Manager Service
(TMS) will be used to automatically discover the existence of a named mission task, and will interpret, translate and
transmit a mission command for the blue force unit(s) described in a mission order. JC3IEDM data objects, and
software development kit (SDK), will be utilized as the basic data object definition for implemented web services.
The U.S. Army's infrared target acquisition models have been used for many years by the military sensor community, and there have been significant improvements to these models over the past few years. Significant improvements are the Target Task Performance (TTP) metric for all imaging sensors, the ACQUIRE-LC approach for low contrast infrared targets, and the development of discrimination criteria for the urban environment. This paper is intended to provide an overview of the current infrared target acquisition modeling approach.
This paper will discuss recent advances and changes to the models and methodologies used to: (1) design and compare sensors, (2) predict expected target acquisition performance in the field, (3) predict target detection performance for combat simulations, (4) measure and characterize human operator performance in an operational environment (field performance), and (5) relate the models to target acquisition tasks and address targets that are relevant to urban operations. Finally, we present a catalog of discrimination criteria, characteristic dimensions, and target contrasts.
The roles of sensor systems in the current and Future Force have necessarily affected an evolution of the requirements for the distribution and management of sensor data. No longer do the closed, stove pipe solutions of the past come close to meeting the interoperability needs. New sensor technologies and deployment concepts have pushed sensors into the network centric world and have simultaneously presented a requirement for joint standard digital communications capable of dynamic discovery of nodes on the network, runtime reconfiguration of sensing devices, multi-connection support, and sensor to sensor direct communications.
To meet these evolving sensor system data management, interface and communications requirements, a team of Government and defense contractors has collaborated to define a component-wise sensor interface architecture and messaging standard. The core component of this sensor interoperability architecture is the proposed Sensor Data Link (SDL) messaging standard. SDL provides a flexible framework of joint standard data representations, messages, and common processes for current and Future Force sensors.
This paper describes the Comprehensive Munitions and Sensor Server (CMS2) simulation software, its representation of Unattended Ground Sensors (UGS), Intelligent Munition Systems (IMS) and mines, and its application to high visibility US Army programs.
The Comprehensive Munitions and Sensor Server (CMS2) provides a high-fidelity representation of mines, Intelligent Munitions Systems (IMS), and Unattended Ground Sensors (UGS) to support a broad range of engineering and operational simulation applications. Mine types modeled by CMS2 include conventional anti-personnel and anti-tank, side attack, command activated and individual and networked smart munitions. Sensor technologies modeled include, but are not limited to, imaging IR, acoustic, seismic, and magnetic. Since the CMS2 software is predominantly implemented as parametric models and plug-in libraries, the sensors, munitions, mines and their components can be configured or even added at run time. CMS2 interfaces with an imaging sensor simulation and a Human-In-The-Loop (HITL) controller application that allows for the control of IMS and UGS systems simulated by CMS2. The controller, in conjunction with the imaging sensor simulation, provides static visible and infrared (IR) images of the target area of interest to the operator. CMS2 typically complements the OneSAF Testbed within force-on-force simulations.
Because of its modularity and software reuse, the CMS2 simulation is utilized extensively to support programs such as TRADOC’s Unit of Action experimentation, Intelligent Munitions System (IMS), Tactical Unattended Ground Sensor (T-UGS), Networked Sensors for the Future Force (NSFF) program and the Future Combat Systems (FCS).
This paper will describe how some of these programs are using CMS2 to support the development and acquisition of UGS and IMS technologies.