Onboard FPGA-based fast estimation of point object coordinates for linear IR-sensor
Autor: | Valery V. Strotov, Yury S. Bekhtin, Pavel V. Babayan |
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Rok vydání: | 2017 |
Předmět: |
Channel (digital image)
Computer Networks and Communications Computer science Point source 020208 electrical & electronic engineering Estimator 02 engineering and technology White noise 020202 computer hardware & architecture Image (mathematics) Artificial Intelligence Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Field-programmable gate array Algorithm Software Simulation |
Zdroj: | Microprocessors and Microsystems. 51:99-105 |
ISSN: | 0141-9331 |
DOI: | 10.1016/j.micpro.2017.04.009 |
Popis: | This paper describes the relatively simple algorithm and its implementation in the FPGA-based onboard hardware for quick calculating estimators of point source coordinates within an image formed by onboard IR-sensor. The algorithm based on the iterative least square method uses the model which describes the cases when the spot is put on both three and two squares, small quantity of samples for channel impulses, voltage shifts and correlated white noise for each photoelement. The paper contains the results of modeling and the description of the FPGA-based hardware that allows replacing routine processing of whole image. |
Databáze: | OpenAIRE |
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