Notice of RetractionThe temperature modeling of the moving armored vehicle based on finite element method
Due to the decline of the viability and battle effectiveness of the electronic countermeasure armored vehicle caused by intense infrared radiation (IR), the temperature model is built for the IR characterizations of moving target. While taking the effect of radiation, convection and heat transfer into consideration, the mathematic description and simulation of the temperature model are carried out with finite element method (FEM) in the processes of sub-domains partition, node determination, control equation construction, boundary condition determination, equation discretization and iterated calculation. The comparison and analysis of the temperature distribution of typical parts between the simulated results of the FEM and the actual measured value are carried out with the same parameters. It indicates that the results with the application of the FEM approaches the actual measured value more with a better precision.
Application of Image Simulation in Weapon System Development
The development of sophisticated electro-optical equipment requires radiometrically calibrated imaging scene simulators in order to evaluate and optimise system performance under diverse environmental conditions. A brief overview of a working simulation system is presented, highlighting the issues relevant to physics-based radiometry, signature measurement, signature modelling and software implementation. The article briefly describes the application of the simulation in the develop- ment of various weapon systems; including sensor development, image processing algorithm development and knowledge man- agement. The simulator environment has proved invaluable in the development and evaluation of complex optronics weapon systems.
Simulating The Performance Of Imaging Sensors For Use In Realistic Tactical Environments
An imaging sensor simulation model is described which allows a modeled or measured scene radiance map to be displayed on a video monitor as it would be seen if viewed through a simulated sensor under simulated environmental conditions. The model includes atmospheric effects (transmittance, path radiance, and single-scattered solar radiance) by incorporating a modified version of the LOWTRAN 6 code. Obscuration and scattered radiance introduced into the scene by battlefield induced contaminants are represented by a battlefield effects module. This module treats smoke clouds as a series of Gaussian puffs whose transport and diffusion are modeled in a semi-random fashion to simulate atmospheric turbulence. The imaging sensor is modeled by rigorous application of appropriate optical transfer functions with appropriate insertion of random system noise. The simulation includes atmospheric turbulence transfer functions according to the method of Fried. Of particular use to sensor designers, the various effects may be applied individually or in sequence to observe which effects are responsible for image distortion. Sensor parameters may be modified interactively, or recalled from a sensor library. The range of the sensor from a measured scene may be varied in the simulation, and background and target radiance maps may be combined into a single image. The computer model itself is written in FORTRAN IV so that it may be transported between a wide variety of computer installations. Currently, versions of the model are running on a VAX 11/750 and an Amdahl 5860. The model is menu driven allowing for convenient operation. The model has been designed to output processed images to a COMTAL image processing system for observer interpretation. Preliminary validation of the simulation using unbiased observer interpretation of minimum resolvable temperature (MRT)-type bar patterns is presented.