RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph
Abstract Realizing accurate detection of an unknown radio transmitter (URT) has become a challenging problem due to its unknown parameter information. A method based on received signal strength difference (RSSD) fingerprint positioning technique and using factor graph (FG) for 2-D scenario has been...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-01-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1329-5 |
| _version_ | 1818571848910110720 |
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| author | Liyang Zhang Taihang Du Chundong Jiang |
| author_facet | Liyang Zhang Taihang Du Chundong Jiang |
| author_sort | Liyang Zhang |
| collection | DOAJ |
| description | Abstract Realizing accurate detection of an unknown radio transmitter (URT) has become a challenging problem due to its unknown parameter information. A method based on received signal strength difference (RSSD) fingerprint positioning technique and using factor graph (FG) for 2-D scenario has been developed. However, the URT positioning under 3-D scenario is more difficult with the large number of unknown parameters and has greater practical significance. In addition, the previous RSSD-based FG model is not accurate enough to express the relationship between the RSSD and corresponding location coordinates since the RSSD variances of reference points are different in practice. This paper proposes a more accurate 3-D FG model to reduce the influence of difference of RSSD measurement variances on positioning accuracy effectively by utilizing weighted least square (WLS). With the proposed RSSD-based 3-D WLSFG model and sum-product rule, positioning process of the proposed 3-D RSSD-WLSFG algorithm is derived. To verify the feasibility of the proposed method, we also explores the effects of different signal receiver numbers and grid distances on positioning accuracy. The simulation experiment results show that the proposed algorithm can obtain the best positioning performance compared with the conventional K nearest neighbor (KNN) algorithm and RSSD-FG algorithm under different grid distances and signal receiver numbers. |
| first_indexed | 2024-12-14T18:49:43Z |
| format | Article |
| id | doaj.art-0f37a74e1fc44ab8a0b3a9b6181a0854 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-14T18:49:43Z |
| publishDate | 2019-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-0f37a74e1fc44ab8a0b3a9b6181a08542022-12-21T22:51:17ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-01-012019111410.1186/s13638-018-1329-5RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graphLiyang Zhang0Taihang Du1Chundong Jiang2School of Artificial Intelligence, Hebei University of TechnologySchool of Artificial Intelligence, Hebei University of TechnologySchool of Artificial Intelligence, Hebei University of TechnologyAbstract Realizing accurate detection of an unknown radio transmitter (URT) has become a challenging problem due to its unknown parameter information. A method based on received signal strength difference (RSSD) fingerprint positioning technique and using factor graph (FG) for 2-D scenario has been developed. However, the URT positioning under 3-D scenario is more difficult with the large number of unknown parameters and has greater practical significance. In addition, the previous RSSD-based FG model is not accurate enough to express the relationship between the RSSD and corresponding location coordinates since the RSSD variances of reference points are different in practice. This paper proposes a more accurate 3-D FG model to reduce the influence of difference of RSSD measurement variances on positioning accuracy effectively by utilizing weighted least square (WLS). With the proposed RSSD-based 3-D WLSFG model and sum-product rule, positioning process of the proposed 3-D RSSD-WLSFG algorithm is derived. To verify the feasibility of the proposed method, we also explores the effects of different signal receiver numbers and grid distances on positioning accuracy. The simulation experiment results show that the proposed algorithm can obtain the best positioning performance compared with the conventional K nearest neighbor (KNN) algorithm and RSSD-FG algorithm under different grid distances and signal receiver numbers.http://link.springer.com/article/10.1186/s13638-018-1329-5Radio transmitter3-D Position locationReceived signal strength (RSSD)Weighted least square (WLS)Factor graph (FG) |
| spellingShingle | Liyang Zhang Taihang Du Chundong Jiang RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph EURASIP Journal on Wireless Communications and Networking Radio transmitter 3-D Position location Received signal strength (RSSD) Weighted least square (WLS) Factor graph (FG) |
| title | RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph |
| title_full | RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph |
| title_fullStr | RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph |
| title_full_unstemmed | RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph |
| title_short | RSSD-based 3-D localization of an unknown radio transmitter using weighted least square and factor graph |
| title_sort | rssd based 3 d localization of an unknown radio transmitter using weighted least square and factor graph |
| topic | Radio transmitter 3-D Position location Received signal strength (RSSD) Weighted least square (WLS) Factor graph (FG) |
| url | http://link.springer.com/article/10.1186/s13638-018-1329-5 |
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