Lee, Peter and Adefila, Kehinde and Yan, Yong (2012) An FPGA correlator for continuous real-time measurement of particulate flow. In: 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings. IEEE, Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International, pp. 2183-2186. ISBN 978-1-4577-1773-4. E-ISBN 978-1-4577-1772-7. (doi:10.1109/I2MTC.2012.6229664) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35520)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.1109/I2MTC.2012.6229664 |
Abstract
This paper describes an FPGA based system for monitoring the flow rate of pneumatically conveyed particulates by calculating the cross-correlation of signals generated by a pair of electrostatic sensors embedded in a pipeline. The architecture is capable of calculating a delay in the range of 0 to 20.48 ms with a resolution of 20.48 ?s at the sampling rate of 48.8 kHz. The circuit is implemented using a Xilinx Spartan3 device operating at a frequency of 50 MHz and uses a novel logarithmic based arithmetic circuit for calculating normalized cross-correlation data at a rate 1000x higher than previously published microcontroller based solutions. The architecture is easily extensible to accommodate systems with more than 2 sensing elements and can operate at higher sampling rates as required. The current system uses just 12 multipliers, 12 BRAMS and 34% of the logic resources available on a XC3S700A device.
| Item Type: | Book section |
|---|---|
| DOI/Identification number: | 10.1109/I2MTC.2012.6229664 |
| Uncontrolled keywords: | field programmable gate arrays; correlation; delay; electrostatics; sensor arrays |
| Subjects: | T Technology |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
Divisions > Division of Natural Sciences > School of Engineering and Digital Arts Instrumentation, Control and Embedded Systems Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
|
| Depositing User: | Tina Thompson |
| Date Deposited: | 18 Oct 2013 13:12 UTC |
| Last Modified: | 20 May 2025 10:35 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/35520 (The current URI for this page, for reference purposes) |
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