Kalman Filter Embedded in FPGA to Improve Tracking Performance in Ballistic Rockets
作者： J. V. Fonseca , R. C. L. Oliveira , J. A. P. Abreu , E. Ferreira , M. Machado
关键词:
摘要: This research project deals with the application of dynamic modeling methods for prediction and correction (filtering) state variables in calculation position speed training rockets launched at Alcantara Launch Center. Initially, an approach is made means involved launching tracking rockets, purpose obtaining understanding acquisition radar signals, which are input filter. Then it mathematical treatment filter model to obtain equations used filtering rocket trajectory. Finally Kalman algorithm LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) FPGA (Field Programmable Gate Array) estimate velocity rocket. The main contribution this work a gain processing using parallelism hardware level, implementing reconfigurable architecture, ensuring platform fast enough radars high precision good capability rockets.
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