An Improved Indoor Location Technique Using Kalman Filtering on RSSI

被引：14
|
作者：
Fariz, Nik [1 ]
Jamil, Norziana [1 ]
Din, Marina Md [1 ]
机构：
[1] Univ Tenaga Nas, Inst Informat & Comp Energy, Kajang, Selangor, Malaysia
来源：
ADVANCED SCIENCE LETTERS | 2018年 / 24卷 / 03期
关键词：
Indoor Positioning Technique; Kalman Filter (KF); Received Signal Strength Indicator (RSSI); Trilateration;
D O I：
10.1166/asl.2018.11116
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Indoor positioning technique is used to trace location of entities within a non-space environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter that can manipulate noise signal reduced from raw Received Signal Strength Indicator (RSSI). Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of enhanced Kalman Filter. Our analysis and finding shows that the enhanced indoor positioning technique has improved the accuracy tremendously.
引用
收藏
页码：1591 / 1598
页数：8
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