Raytheon’s Modeling and Simulation
Supporting all phases of system development, test and training
Modeling and Simulation (M&S) is a critical capability employed in developing and using complex systems. M&S supports the entire product life cycle, from initial concept development to design, integration, test and evaluation, deployment and sustainment, and future evolution.
Raytheon Air and Missile Simulation:
A Selectable Fidelity Tool for Radar and Systems Analysis
Designing systems and confirming that they can defend against coordinated raids of ballistic missiles, aircraft and cruise missiles is challenging. How, for example, can enough fidelity be provided to test components and algorithms? Likewise, how can complex interactions between system elements be examined before the system design is complete? Raytheon Air and Missile Simulation (RAMS) addresses these challenges by using collections of threat modeling, radar processing, battle management and interceptor modules with a plug-and-play foundation.
Interoperability Analysis of RF Systems
In operational environments, it is imperative that wireless systems maintain performance even in the presence of extreme noise interference originated by other radio frequency (RF) sources in near proximity. To ensure system performance and mission effectiveness, today’s RF engineers must design-for-interoperability and conduct system engineering analyses that will help identify, prevent and mitigate performance shortfalls.
Cyber Analysis Modeling Evaluation for Operations (CAMEO)
— Countering the Cyberthreat
Today’s cyberthreat is real, pervasive and potentially devastating to information networks and systems that are the core of defense and commercial infrastructures. All information systems are under the shadow of cyberattack, and the developers and users of these systems must evolve and apply cyber countermeasures and resiliency techniques that enable secure operation in this hostile environment to ensure mission survival.
Raytheon’s customers often demand innovative, low-cost, minimal-risk solutions with high technical readiness levels (TRLs). Many new program pursuits require TRLs of 6 or greater just to compete. This is driving an industry trend toward greater reliance on early prototyping in high fidelity simulation testbeds to demonstrate technology maturity during the proposal and concept design phases.
Phased Array Availability Modeling and Simulation:
Techniques for Efficient and Effective Performance Modeling
Raytheon has a legacy of delivering high-availability phased array radars on ground, sea and airborne platforms. A sample of our 30+ year history of phased array systems is illustrated in Table 1. This broad range of experience has allowed Raytheon to develop sophisticated availability modeling and simulation techniques, which are continually refined to assess performance for evolving and varied mission and support environments.
Radar Digital Signal Injection System (RDSIS)
Models and simulations are essential throughout the entire life cycle of product development. Hardware-in-the-Loop (HWIL) simulations enable testing of system software running on a subset of the system’s fielded hardware. Within HWILsimulations, models are used to replicate or emulate natural and man-made systems as a substitute for products or effects that are difficult or cost prohibitive to use or create, including environmental effects, threats and system hardware.
Embedded Training in the Modern Command and Control Environment
Raytheon Solipsys produces tactical display and command and control (C2) software for domestic and international customers. The C2 implementations run from single-user expeditionary systems, such as the Marine Common Aviation Command and Control System (CAC2S), to continental defense (where many dozens of operators work simultaneously), such as the Air Force Battlespace Command and Control Center (BC3). The modern C2 system places great power in the hands of the individual operator. The same human machine interface (HMI) can be used for surveillance, command, control, planning and maintenance activities.
Creating Immersive Simulations and Trainers
The increasing complexity and scope of operations conducted by today’s warfighter have created a corresponding need for increasingly complex modeling, simulation and analysis methods to represent and assess these missions. For example, U.S. ground forces operating in urban areas may suddenly encounter an ambush that requires them to quickly adapt to and gain greater situational awareness of their immediate surroundings.
Using the genSim Family of Simulations for System Design
For more than a decade, Raytheon has been working on an integrated suite of tools geared to support simulation development through the entire product life cycle. These tools are genSim™, genIR and genRF, and they offer users and customers a flexible, reliable, cost-effective and proven solution to their simulation and modeling needs.
Enterprise Modeling and Simulation (EMS): Enhancing Cross-Company Collaboration to Improve the Quality of Solutions that Raytheon can Offer Our Customers
One of Raytheon’s core strengths is the broad and deep knowledge that exists across the company. Our collective expertise spans a wide range of high tech disciplines, providing a vast fund of knowledge that drives our success. However, knowledge in isolation does not generate solutions to the many complex technical challenges that our customers face. Enterprise Modeling and Simulation (EMS) addresses this problem by providing solutions to enable us to rapidly and effectively distribute our expertise, knowledge and simulation capability from where it resides to where it’s needed. This capability results in quick access to the information needed so our subject matter experts (SMEs) can provide innovative solutions to customer problems.
Accelerating Simulations Through the Use of General Purpose Graphical Processing Units (GPGPUs)
Computer processors known as graphical processing units (GPUs) are massively parallel processors that outperform multi-core processors in solving computing problems that can be broken down into a large number of less complex, independent processing tasks. These computing problems, commonly known as embarrassingly parallel problems, arise naturally in physics-based modeling and simulation (M&S). While modern multi-core processors contain a handful of central processing units (CPUs or cores), GPUs contain hundreds; though GPU cores are specialized, and are not exactly equivalent in versatility or complexity to the modern CPU.