RESEARCH NOISE-IMMUNITY OF ALGORITHMS FOR TRAJECTORY MEASUREMENTS BASED ON VIDEO DATA

Л. А. Краснов, C. Э. Лямцев

Abstract


The noise-immune algorithms for estimating parameters of moving objects by video data are presented by modeling in Matlab, the noise immunity of correlation-extremal algorithms needed to estimate parameters of moving objects by video data has been investigated. Thresholds of stability of procedures of measurement of range, angular and high-speed parameters against the background of action of Gaussian, pulse and multiplicative noise are estimated. Recommendations about application the procedure of a filtration for the purpose of increase in a threshold of steady work are provided. Results of the conducted researches need to be considered at design of systems technical sight of different function.

Keywords


noise-immunity analysis, trajectory measurements, threshold of steady work of algorithms

References


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DOI: https://doi.org/10.32620/reks.2016.4.14

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