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Subject: search.filters.subject.Cumulative Distribution Function (CDF)

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    A Study of Improved Indoor Localization Accuracy using Looping Min-Max Technique
    (2024-01-01)
    Tiengthong, Thanadol
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    Mankong, Thanadon
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    Suwansukho, Nattapan
    ;
    Southisombath, Phouthong
    ;
    Chaisang, Aditep
    This paper investigates the efficacy of WLAN technology at 5.8 GHz for indoor localization, a widely adopted and versatile approach due to its adaptability and ease of implementation. The choice of 5.8 GHz frequency offers several advantages, including reduced interference and higher data transmission rates, enhancing the precision and reliability of localization systems. Utilizing Received Signal Strength (RSS) for distance calculation is employed due to its computational simplicity and efficiency. The proposed methodology employs a modified Min-Max technique for estimating positions, iterating the Min-Max process until the distance error aligns with a predefined threshold. Comparative evaluation using Cumulative Distribution Function (CDF) demonstrates improved accuracy compared to conventional Min-Max methods. The research findings indicate promising enhancements in accuracy and efficacy for indoor localization using WLAN technology at 5.8 GHz. These advancements hold significant potential for real-time indoor localization applications, paving the way for improved indoor navigation and tracking systems in the future.
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    Evaluation of Indoor Localization with Range-Free Weighted Localization Algorithm
    (2018-07-02)
    Thongkam, Jutamas
    ;
    Supanakoon, Pichaya
    ;
    Promwong, Sathaporn
    Currently, Ultra-wide band has important in the role of the short-range communication, especially in, an indoor localization. However, there are more factors of the indoor environment caused to reduce the precise localization and also increase the error of distance. The presents a new weighted to evaluate the UWB technology for the indoor localization. The proposed methods are using received signal strength indicator (RSSI) to compute the error of distance based on weighting algorithms. Whereby the weight centroid localizer (WCL) is proposed in this paper. As the results, the cumulative distribution function (CDF) probability indicates the error of distance as properly, and this method can help to increase the precision of range based localization method in an application of indoor environment.