A study on the cabin indoor localization algorithm based on adaptive -values
In ocean voyages, cabin indoor localization plays a considerably important role in ship safety management. Due to the special structure of ships and the influence of internal and external environment, the mainstream indoor positioning technology nowadays is not ideal for positioning inside the cabin...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-02-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/15501477211073044 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849690138357006336 |
|---|---|
| author | Junbo Gao Tao Fan Zhenxiao Qin Wei Sun |
| author_facet | Junbo Gao Tao Fan Zhenxiao Qin Wei Sun |
| author_sort | Junbo Gao |
| collection | DOAJ |
| description | In ocean voyages, cabin indoor localization plays a considerably important role in ship safety management. Due to the special structure of ships and the influence of internal and external environment, the mainstream indoor positioning technology nowadays is not ideal for positioning inside the cabin. In order to improve the positioning accuracy, this article proposes an adaptive K -value-based cabin indoor positioning algorithm. The algorithm constructs a fingerprint library by collecting Received Signal Strength Indication data and carries out filtering; matches fingerprint information by adaptive K -values during the localization process, while using double K -nearest neighbor to reduce the influence of outlier points on the final localization; and finally uses the multi-point mass center method to determine the final localization results. The experimental results in the automated cabin laboratory show that the average positioning error of the algorithm is 1.74 m, which can well meet the cabin indoor positioning requirements. |
| format | Article |
| id | doaj-art-ec751aa651534e88af797df2e45f14ce |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2022-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-ec751aa651534e88af797df2e45f14ce2025-08-20T03:21:24ZengWileyInternational Journal of Distributed Sensor Networks1550-14772022-02-011810.1177/15501477211073044A study on the cabin indoor localization algorithm based on adaptive -valuesJunbo GaoTao FanZhenxiao QinWei SunIn ocean voyages, cabin indoor localization plays a considerably important role in ship safety management. Due to the special structure of ships and the influence of internal and external environment, the mainstream indoor positioning technology nowadays is not ideal for positioning inside the cabin. In order to improve the positioning accuracy, this article proposes an adaptive K -value-based cabin indoor positioning algorithm. The algorithm constructs a fingerprint library by collecting Received Signal Strength Indication data and carries out filtering; matches fingerprint information by adaptive K -values during the localization process, while using double K -nearest neighbor to reduce the influence of outlier points on the final localization; and finally uses the multi-point mass center method to determine the final localization results. The experimental results in the automated cabin laboratory show that the average positioning error of the algorithm is 1.74 m, which can well meet the cabin indoor positioning requirements.https://doi.org/10.1177/15501477211073044 |
| spellingShingle | Junbo Gao Tao Fan Zhenxiao Qin Wei Sun A study on the cabin indoor localization algorithm based on adaptive -values International Journal of Distributed Sensor Networks |
| title | A study on the cabin indoor localization algorithm based on adaptive -values |
| title_full | A study on the cabin indoor localization algorithm based on adaptive -values |
| title_fullStr | A study on the cabin indoor localization algorithm based on adaptive -values |
| title_full_unstemmed | A study on the cabin indoor localization algorithm based on adaptive -values |
| title_short | A study on the cabin indoor localization algorithm based on adaptive -values |
| title_sort | study on the cabin indoor localization algorithm based on adaptive values |
| url | https://doi.org/10.1177/15501477211073044 |
| work_keys_str_mv | AT junbogao astudyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues AT taofan astudyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues AT zhenxiaoqin astudyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues AT weisun astudyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues AT junbogao studyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues AT taofan studyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues AT zhenxiaoqin studyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues AT weisun studyonthecabinindoorlocalizationalgorithmbasedonadaptivevalues |