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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Maximum Convergence Accuracy for Hybrid Indoor Positioning System |
| Authors Name: | Kavita Thakur , Dr. Vinit kumar Dongre |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_206097
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| Published Paper Id: | IJNRD2309401 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | For tracking people or object’s Location in the indoor environments, a network device is suggested known as IPS.. This technology mainly used because of supervising the health, position, guidance in different sectors like Universities, museums, airports, hospitals and warehouses the main advantages of IPS with distinct feature like reduction of material and energy cost over time that has huge impact compared to other technology which are more costly. Among various technology like (UWB) Wireless Fidelity (Wi-Fi) Bluetooth Low Energy (BLE). (Wi-Fi)Technology is an outstanding approach for indoor navigation and positioning due to already available Wi-Fi Infrastructure Wireless IPS has categorized into two approaches :geometrical –calculation based and Scene –Analysis based former relies on measurement of geometrical parameter of Distance and angles by physical characteristics of Signal. RSS is the performance parameter used for achieving robustness and accuracy which is most concerned factor for current scenario Most Recent Research has solved the problem of inconsistency on Received Signal Strength (RSS) using fingerprint method. But the RSSI that received may contain some noise. This paper mainly proposed a method to estimate or tracking the real position of dynamic user. With RSSI value as input to be processed and the result of it will be a location (x, y) value, then repeat the process to create an estimate coordinate map of route taken. Our proposed method is based on fingerprinting with weighted sum of four nearest reference access point to estimate the position of dynamic user then using Extended Kalman Filter as a tracking algorithm. In this paper we try new ways to collect the data of RSS by dynamically collecting the data in many routes to see whether the proposed algorithm could estimate the position better. We achieve an average mean of error around 2cm using Weighted Sum using Kalman Filter tested on dynamic data. |
| Keywords: | Indoor Positioning System, Dynamic User Localization, Fingerprinting Method, Weighted Sum Model, Extended Kalman Filter |
| Cite Article: | "Maximum Convergence Accuracy for Hybrid Indoor Positioning System ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.e1-e6, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309401.pdf |
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2309401 Registration ID: 206097 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: e1-e6 Country: Mumbai, Maharashtra, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309401 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309401 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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