Presentation 2022-01-25
Performance Evaluation of Position Estimation with Power Detectors Delivered by Physical Wireless Parameter Conversion Sensor Networks
Masafumi Oda, Osamu Takyu,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) A method for position estimation using a large number of sensors has been studied, but the problem is that it takes time to aggregate information from a large number of sensors. The authors have previously proposed a position estimation method that assumes an aggregation method using the PhyC-SN (Physical Wireless Parameter Conversion Sensor Networks), in which the received electric field strength of each sensor is converted to frequency and transmitted. In this paper, we investigated a method using signal detectors for each channel as a method to detect the frequency transmitted by the sensor, and evaluated the accuracy of position estimation achieved.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) LPWA / Positioning based finger print / PhyC-SN
Paper # SR2021-72
Date of Issue 2022-01-17 (SR)

Conference Information
Committee SR
Conference Date 2022/1/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Suguru Kameda(Hiroshima Univ.)
Vice Chair Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR)
Secretary Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT)
Assistant Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks)

Paper Information
Registration To Technical Committee on Smart Radio
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Evaluation of Position Estimation with Power Detectors Delivered by Physical Wireless Parameter Conversion Sensor Networks
Sub Title (in English)
Keyword(1) LPWA
Keyword(2) Positioning based finger print
Keyword(3) PhyC-SN
1st Author's Name Masafumi Oda
1st Author's Affiliation Shinshu University(Shinshu Univ.)
2nd Author's Name Osamu Takyu
2nd Author's Affiliation Shinshu University(Shinshu Univ.)
Date 2022-01-25
Paper # SR2021-72
Volume (vol) vol.121
Number (no) SR-345
Page pp.pp.68-72(SR),
#Pages 5
Date of Issue 2022-01-17 (SR)