This article offers a new geometry model of ISAR image reconstruction procedure. Improved modeling and information analysis of ISAR systems are developed by implementation of detail 3D model of observed flying object. Simulation experiments are executed in MATLAB environment.
All embedded systems need high performance and high energy efficiency for their faster real-time task execution. These can be achieved only with the implementation of new innovative technology on higher level than the processor, power battery and standardized test by the EDN Embedded Microprocessor Benchmark Consortium. The big.LITTLE technology is the reason so many users to enjoy the big performance and high power efficiency in their pockets nowadays.
This article offers a neural network architecture for automatic classification of Inverse Synthetic Aperture Radar objects represented in images with high level of optimization. A full explanation of the procedures of two-layer neural network architecture creating and training is described. The neural network is experimentally simulated in MATLAB environment.