Indoor Positioning Algorithm Simulation using Distance Estimation and NNSS
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This paper presents a simulation program for indoor positioning algorithms utilizing distance estimation and NNSS techniques. The program is designed to provide users with a reliable method for accurately determining their position in various indoor environments. Through this implementation, users can conveniently obtain coordinate information of their current location and perform positional adjustments as needed. The simulation incorporates multiple functionalities, such as map navigation, to enhance users' understanding of their position and surrounding environment. Key algorithmic components include signal strength measurement processing, distance calculation using path loss models, and NNSS-based position matching against reference points. In future versions, we plan to improve the program's accuracy through advanced signal processing techniques and add practical features like multi-floor positioning support and real-time calibration to enhance user experience.
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