Abstract
Received signal strength (RSS) based localization of a source is a simple but effective technique. In RSS based localization source location is estimated by converting obtained signal into distance. In this paper, centroid and weighted centroid algorithms has been utilized to locate a partial discharge (PD) source. An artificial PD signal was generated, and signals were captured using radio frequency (RF) sensors and hence the location of the source was estimated. The location of the source was estimated for three different positions. There were eight measurement sensors used and received signal was converted into dBm as input to the location algorithm.
Original language | English |
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Title of host publication | Proceedings 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC) |
Publisher | IEEE |
Number of pages | 5 |
ISBN (Electronic) | 9781728182964 |
DOIs | |
Publication status | Published - 19 Oct 2020 |
Event | 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC) - Okayama, Japan Duration: 19 Oct 2020 → 26 Oct 2020 |
Conference
Conference | 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC) |
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Country/Territory | Japan |
City | Okayama |
Period | 19/10/20 → 26/10/20 |
Keywords
- RSS
- centroid
- partial discharge
- sensors
- mathematical model
- antenna measurements
- radiometry
- receivers
- wireless sensor networks