Vehicles are evolving into vehicle networks through improved sensors, computers and communications. Unless carefully planned, these complex systems can result in excessive crew workload and difficulty in optimizing the use of the vehicle. To overcome these problems, a war-gaming simulator is being developed as a common platform to integrate contributions from three different groups. The simulator, OneSAF, is used to integrate simplified models of technology and natural phenomena from scientists and engineers with tactics and doctrine from the military and analyzed in detail by operations analysts. This approach ensures the modelling of processes known to be important regardless of the level of information available about the system.
Vehicle survivability can be improved as well with better sensors, computers and countermeasures to detect and avoid or destroy threats. To improve threat detection and reliability, Defensive Aids Suite (DAS) designs are based on three complementary sensor technologies including: acoustics, visible and infrared optics and radar. Both active armour and softkill countermeasures are considered. In a typical scenario, a search radar, providing continuous hemispherical coverage, detects and classifies the threat and cues a tracking radar. Data from the tracking radar is processed and an explosive grenade is launched to destroy or deflect the threat. The angle of attack and velocity from the search radar can be used by the soft-kill system to carry out an infrared search and track or an illuminated range-gated scan for the threat platform. Upon detection, obscuration, countermanoeuvres and counterfire can be used against the threat. The sensor suite is completed by acoustic detection of muzzle blast and shock waves. Automation and networking at the platoon level contribute to improved vehicle survivability. Sensor data fusion is essential in avoiding catastrophic failure of the DAS. The modular DAS components can be used with Light Armoured Vehicle (LAV) variants including: armoured personnel carriers and direct-fire support vehicles. OneSAF will be used to assess the performance of these DAS-equipped vehicles on a virtual battlefield.
Light Armoured Vehicles (LAVs) are being developed to meet the modern requirements of rapid deployment and operations other than war. To achieve these requirements, passive armour is minimized and survivability depends more on sensors, computers, countermeasures and communications to detect and avoid threats. The performance, reliability, and ultimately the cost of these systems, will be determined by the technology trends and the rates at which they mature. Defining vehicle requirements will depend upon an accurate assessment of these trends over a longer term than was previously needed. Modelling and simulation are being developed to study these long-term trends and how they contribute to establishing vehicle requirements. ModSAF is being developed for research and development, in addition to the original requirement of Simulation and Modelling for Acquisition, Rehearsal, Requirements and Training (SMARRT), and is becoming useful as a means for transferring technology to other users, researchers and contractors. This procedure eliminates the need to construct ad hoc models and databases. The integration of various technologies into a Defensive Aids Suite (DAS) can be designed and analyzed by combining field trials and laboratory data with modelling and simulation. ModSAF (Modular Semi-Automated Forces,) is used to construct the virtual battlefield and, through scripted input files, a "fixed battle" approach is used to define and implement contributions from three different sources. These contributions include: models of technology and natural phenomena from scientists and engineers, tactics and doctrine from the military and detailed analyses from operations research. This approach ensures the modelling of processes known to be important regardless of the level of information available about the system. Survivability of DAS-equipped vehicles based on future and foreign technology can be investigated by ModSAF and assessed relative to a test vehicle. A vehicle can be modelled phenomenologically until more information is available. These concepts and approach will be discussed in the paper.
Light Armoured Vehicles (LAVs) are being developed to meet the modern requirements of rapid deployment and operations other than war. To achieve these requirements, passive armour is minimized and survivability depends more on sensors, computers and countermeasures to detect and avoid threats. The performance, reliability, and ultimately the cost of these components, will be determined by the trends in computing and communications. These trends and the potential impact on DAS (Defensive Aids Suite) development were investigated and are reported in this paper. Vehicle performance is affected by communication with other vehicles and other ISTAR (Intelligence, Surveillance, Target Acquisition and Reconnaissance) battlefield assets. This investigation includes the networking technology Jini developed by SUN Microsystems, which can be used to interface the vehicle to the ISTAR network. VxWorks by Wind River Systems, is a real time operating system designed for military systems and compatible with Jini. Other technologies affecting computer hardware development include, dynamic reconfiguration, hot swap, alternate pathing, CompactPCI, and Fiber Channel serial communication. To achieve the necessary performance at reasonable cost, and over the long service life of the vehicle, a DAS should have two essential features. A fitted for, but not fitted with approach will provide the necessary rapid deployment without a need to equip the entire fleet. With an expected vehicle service life of 50 years, 5-year technology upgrades can be used to maintain vehicle performance over the entire service life. A federation of modules instead of integrated fused sensors will provide the capability for incremental upgrades and mission configurability. A plug and play capability can be used for both hardware and expendables.
Modern anti-tank missiles and the requirement of rapid deployment are limiting the use of passive armour in protecting land vehicles. Vehicle survivability is becoming more dependent on sensors, computers and countermeasures to detect and avoid threats. The integration of various technologies into a Defensive Aids Suite (DAS) can be designed and analyzed by combining field trials and laboratory data with modeling and simulation. MATLAB is used as a quick prototyping tool to model DAS systems and facilitate transfer to other researchers. The DAS model can be transferred from MATLAB or programmed directly in ModSAF (Modular Semi-Automated Forces), which is used to construct the virtual battlefield. Through scripted input files, a fixed battle approach ensures implementation and analysis meeting the requirements of three different interests. These three communities include the scientists and engineers, military and operations research. This approach ensures the modelling of processes known to be important regardless of the level of information available about the system. A system can be modelled phenomenologically until more information is available. Further processing of the simulation can be used to optimize the vehicle for a specific mission. ModSAF will be used to analyze and plan trials and develop DAS technology for future vehicles. Survivability of a DAS-equipped vehicle can be assessed relative to a basic vehicle without a DAS. In later stages, more complete DAS systems will be analyzed to determine the optimum configuration of the DAS components and the effectiveness of a DAS-equipped vehicle for specific missions. These concepts and approach will be discussed in the paper.
KEYWORDS: Missiles, Systems modeling, Sensors, Laser countermeasures, Analytical research, Modeling and simulation, MATLAB, Defense and security, Data modeling, Weapons
Modern anti-tank weapons and the requirement of rapid deployment have significantly reduced the quantity and effectiveness of passive armor in protecting land vehicles. This new development has led to replacing the main battle tank by a light armored vehicle with at least the same level of survivability achievable by advances in sensor, computer and countermeasure technology to detect, identify and defeat potential threats. The integration of various technologies into a Defensive Aids Suite (DAS) can be designed and analyzed by combining field trials and laboratory data with modeling and simulation. This complementary approach will also make an optimal use of available resources and encourage collaboration with other researchers working towards a common goal. This modeling capability can be easily transferred to other researchers in the field by using a quick prototyping environment such as MATLAB. The code generated from MATLAB will be used for further analysis in an operational research simulator such as ModSAF. Once calibrated with a previous trial, ModSAF will be used to plan future trials. An important feature of ModSAF is the use of scripted input files to plan and implement a fixed battle based on accepted doctrine and tactics. Survivability of a DAS-equipped vehicle can be assessed relative to a basic vehicle without a DAS. In later stages, more complete DAS systems will be analyzed to determine the optimum configuration of the DAS components and the effectiveness of a DAS-equipped vehicle for a particular mission. These concepts and approach will be discussed in the paper.
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