Enhanced filter-based relative distance estimation method

Sang Geol Lee; Yunsick Sung; Young Sik Jeong

doi:10.1166/asl.2016.7795

Enhanced filter-based relative distance estimation method

Sang Geol Lee, Yunsick Sung, Young Sik Jeong

Department of Computer Science and Artificial Intelligence

Pusan National University

Research output: Contribution to journal › Article › peer-review

Abstract

Nowadays, beacon RSSI is utilized to estimate users’ locations. One of research suggests a distance estimation method in indoor environments. However, measured RSSIs are inaccurate in indoor environment. Therefore, a RSSI revision approach is required. This paper proposed a relative distance estimation method (ReDEM-I) applying a RSSI filter (RF-II). The accuracy of measured RSSIs are increased by RF-II and then revised by ReDEM-I. The revised RSSIs are utilized to estimate users’ locations.

Original language	English
Pages (from-to)	2496-2499
Number of pages	4
Journal	Advanced Science Letters
Volume	22
Issue number	9
DOIs	https://doi.org/10.1166/asl.2016.7795
State	Published - Sep 2016

Keywords

Beacon
ReDEM
RSSI filter
UAV

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title = "Enhanced filter-based relative distance estimation method",

abstract = "Nowadays, beacon RSSI is utilized to estimate users{\textquoteright} locations. One of research suggests a distance estimation method in indoor environments. However, measured RSSIs are inaccurate in indoor environment. Therefore, a RSSI revision approach is required. This paper proposed a relative distance estimation method (ReDEM-I) applying a RSSI filter (RF-II). The accuracy of measured RSSIs are increased by RF-II and then revised by ReDEM-I. The revised RSSIs are utilized to estimate users{\textquoteright} locations.",

keywords = "Beacon, ReDEM, RSSI filter, UAV",

author = "Lee, {Sang Geol} and Yunsick Sung and Jeong, {Young Sik}",

year = "2016",

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AB - Nowadays, beacon RSSI is utilized to estimate users’ locations. One of research suggests a distance estimation method in indoor environments. However, measured RSSIs are inaccurate in indoor environment. Therefore, a RSSI revision approach is required. This paper proposed a relative distance estimation method (ReDEM-I) applying a RSSI filter (RF-II). The accuracy of measured RSSIs are increased by RF-II and then revised by ReDEM-I. The revised RSSIs are utilized to estimate users’ locations.

KW - Beacon

KW - ReDEM

KW - RSSI filter

KW - UAV

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JO - Advanced Science Letters

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Enhanced filter-based relative distance estimation method

Abstract

Keywords

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