Please use this identifier to cite or link to this item: https://idr.l4.nitk.ac.in/jspui/handle/123456789/7355
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHaritha, G.
dc.contributor.authorAparna, P.
dc.contributor.authorSrihari, P.
dc.contributor.authorSatapathi, G.S.
dc.date.accessioned2020-03-30T09:58:54Z-
dc.date.available2020-03-30T09:58:54Z-
dc.date.issued2019
dc.identifier.citation2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2018 - Proceedings, 2019, Vol., , pp.158-162en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7355-
dc.description.abstractThis paper presents real time tracking hardware based on field programmable gate arrays (FPGA). Traditionally, tracking system is simulated in MATLAB environment and an equivalent hardware description language (HDL) code is written for FPGA. But, in this paper a simulated and verified MATLAB code is directly converted into HDL which is used in FPGA. This method improves the efficiency of the real time tracker and flexibility in usage of FPGA. Moreover, the simulated and hardware outputs will be consistent. Three types tracking algorithm namely Kalman filter (KF), extended Kalman filter (EKF), and ??? filter are implemented to validate the proposed approach. � 2018 IEEE.en_US
dc.titleAnalysis of real-time tracking filters implementation in FPGAen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.