Abstract
The classical rang-based technique for position estimation is still reliably used for indoor localization. Trilateration and multilateration, which include three or more references to locate the indoor object, are two common examples. These techniques use at least three intersection-locations of the references' distance and conclude that the intersection is the object's position. However, some challenges have appeared when using a simple power-to-distance parameter, i.e., received signal strength indicator (RSSI). RSSI is known for its fluctuated values when used as the localization parameter. The improvement of classical range-based has been proposed, namely min-max and iRingLA algorithms. These algorithms or methods use the approximation in a bounding-box and rings for min-max and iRingLA, respectively. This paper discusses the comparison performance of min-max and iRingLA with multilateration as the classical method. We found that min-max gives the best performance, and in some positions, iRingLA gives the best accuracy error. Hence, the approximation method can be promising for indoor localization, especially when using a simple and straightforward RSSI parameter.
Highlights
I N recent years, the demands for Location-Based Service (LBS) is increasing
Most of the parameters used in indoor localization are Received Signal Strength Indicator (RSSI) [13], Time of Arrival (ToA) [14], Time Difference of Arrival (TDoA) [15], and Angle of Arrival (AoA) [16]
We selected the 17 points based on the RSSI values that are not fluctuated compared to the corners' position
Summary
I N recent years, the demands for Location-Based Service (LBS) is increasing. LBS is applied in assistive technology such as car navigation, monitoring, healthcare, a gaming [1], disaster and emergency [2], and supporting production process [3]. Most of the parameters used in indoor localization are Received Signal Strength Indicator (RSSI) [13], Time of Arrival (ToA) [14], Time Difference of Arrival (TDoA) [15], and Angle of Arrival (AoA) [16] These parameters can be used as a tool for positioning by several localization techniques. The range-free technique or scene analysis uses the unique radio parameters for locating the target or object. The problem in finding the correct intersection of three or more circles, the approximation of the proposed technique, is proven to reduce the estimation error These techniques are widely applied in indoor localization techniques, namely min-max algorithm, and iRingLA. As the author's concern, there are no publications to compare the simple-straightforward indoor localization technique in the range based on trilateration vs min-max vs iRingLA with the simple measurement using specific parameters, i.e., RSSI.
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