| 研究課題/領域番号 |
20K04484
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| 研究機関 | 岡山大学 |
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研究代表者 |
侯 亜飛 岡山大学, 自然科学学域, 助教 (60598457)
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| 研究分担者 |
上原 一浩 岡山大学, 自然科学研究科, 教授 (10221798)
冨里 繁 岡山大学, 自然科学研究科, 准教授 (60362951)
田野 哲 岡山大学, 自然科学研究科, 教授 (80378835)
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| 研究期間 (年度) |
2020-04-01 – 2023-03-31
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| キーワード | LCX localization / MIMO / Neural Network / RSSI prediction |
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| 研究実績の概要 |
(1) In this year, using the LCX channel model, we built an indoor scenario and generated RSSI data. Based on the data correlation analysis and prediction theory, the lower bound and upper bound of predictability of generated LCX RSSI data have been researched. Then the RSSI value ahead has been predicted using a probabilistic neural network (PNN). The similar research on indoor localization has also been realized with more accurate localization level using PNN.
(2) A new research direction of localization of multiple users over wireless coverage using LCX has been proposed, which evaluated the TOA estimation of multiple users in a simultaneous way. Furthermore, we also investigated the capacity improvement of LCX system using spatial modulation with the main idea of on/off the LCX slots.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
(1)The research in this year presented a localization method using multiple LCXs for an indoor multipath-rich environment. It improved the localization accuracy by learning the RSSI data generated from multiple LCXs. The results show the RSSI-PNN method is promising and more than 90% of the localization errors are within 1 m. Compared with the conventional TDOA method, the RSSI-PNN method has better localization performance especially in the middle area of the wireless coverage of LCXs over the indoor environment.
(2) We also evaluated a low-complexity method to realize the simultaneous indoor localization of multiple users. It can detect multiple TDoA from multiple users. However, it is still difficult to find the correct relationship between users locations and multiple TDoAs.
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| 今後の研究の推進方策 |
(1)For the final fiscal year, an efficient indoor localization method such as particle filter based interactive and iterative scheme will be proposed and evaluated. In addition, it also needs to reduce its computational complexity.
(2)Till now, all results related to indoor localization were limited to the 2-D cases. In final fiscal year, 3-D LCX channel model will be simulated for the evaluation of the proposed indoor localization method.
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| 次年度使用額が生じた理由 |
Due to the coronavirus situation, it is difficult to join some international conferences which saves the travel expenses. In addition, the measurement for channel modelling has not be operated which saves the lending fee of measurement devices.
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