TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments
We consider tracking a moving target in a wireless communication system that is based on the radio signal. Considering a bounded workspace with many unknown obstacles, we handle tracking a non-cooperative transmitter using multiple signal receivers. Here, a non-cooperative transmitter is a transmitt...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/9/4566 |
| _version_ | 1797601690922254336 |
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| author | Jonghoek Kim |
| author_facet | Jonghoek Kim |
| author_sort | Jonghoek Kim |
| collection | DOAJ |
| description | We consider tracking a moving target in a wireless communication system that is based on the radio signal. Considering a bounded workspace with many unknown obstacles, we handle tracking a non-cooperative transmitter using multiple signal receivers. Here, a non-cooperative transmitter is a transmitter whose signal emission time is not known in advance. We consider a time difference of arrival (TDOA) location problem, which locates the transmitter by processing the signal measurement time at multiple receivers. In tracking a non-cooperative transmitter, non-line-of-sight (NLOS) errors occur if obstacles block the LOS line connecting the receiver and the moving transmitter. Our article addresses how to track a moving transmitter while decreasing the NLOS error in TDOA-only measurements. We propose an algorithm to localize a transmitter while decreasing the NLOS error in TDOA measurements. For tracking a moving transmitter in real time, we integrate the proposed localization algorithm and the interacting multiple model Kalman filter (IMM KF). As far as we know, our article is novel in tracking a moving transmitter based on TDOA-only measurements in an unknown mixed LOS/NLOS workspace. We show that the proposed filter considerably decreases the NLOS errors in TDOA-only measurements while running fast. Therefore, the proposed tracking scheme is suitable for tracking a moving transmitter in real time. Through MATLAB simulations, we show that the proposed filter outperforms other state-of-the-art TDOA filters, considering both time efficiency and tracking accuracy. |
| first_indexed | 2024-03-11T04:06:13Z |
| format | Article |
| id | doaj.art-c07a195103114da2b960f0e4ee469d8e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:06:13Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c07a195103114da2b960f0e4ee469d8e2023-11-17T23:46:15ZengMDPI AGSensors1424-82202023-05-01239456610.3390/s23094566TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered EnvironmentsJonghoek Kim0System Engineering Department, Sejong University, Seoul 05006, Republic of KoreaWe consider tracking a moving target in a wireless communication system that is based on the radio signal. Considering a bounded workspace with many unknown obstacles, we handle tracking a non-cooperative transmitter using multiple signal receivers. Here, a non-cooperative transmitter is a transmitter whose signal emission time is not known in advance. We consider a time difference of arrival (TDOA) location problem, which locates the transmitter by processing the signal measurement time at multiple receivers. In tracking a non-cooperative transmitter, non-line-of-sight (NLOS) errors occur if obstacles block the LOS line connecting the receiver and the moving transmitter. Our article addresses how to track a moving transmitter while decreasing the NLOS error in TDOA-only measurements. We propose an algorithm to localize a transmitter while decreasing the NLOS error in TDOA measurements. For tracking a moving transmitter in real time, we integrate the proposed localization algorithm and the interacting multiple model Kalman filter (IMM KF). As far as we know, our article is novel in tracking a moving transmitter based on TDOA-only measurements in an unknown mixed LOS/NLOS workspace. We show that the proposed filter considerably decreases the NLOS errors in TDOA-only measurements while running fast. Therefore, the proposed tracking scheme is suitable for tracking a moving transmitter in real time. Through MATLAB simulations, we show that the proposed filter outperforms other state-of-the-art TDOA filters, considering both time efficiency and tracking accuracy.https://www.mdpi.com/1424-8220/23/9/4566time difference of arrivalnon-line-of-sightNLOS errorNLOS error reductiontransmitter trackinginteracting multiple model kalman filters |
| spellingShingle | Jonghoek Kim TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments Sensors time difference of arrival non-line-of-sight NLOS error NLOS error reduction transmitter tracking interacting multiple model kalman filters |
| title | TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments |
| title_full | TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments |
| title_fullStr | TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments |
| title_full_unstemmed | TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments |
| title_short | TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments |
| title_sort | tdoa based target tracking filter while reducing nlos errors in cluttered environments |
| topic | time difference of arrival non-line-of-sight NLOS error NLOS error reduction transmitter tracking interacting multiple model kalman filters |
| url | https://www.mdpi.com/1424-8220/23/9/4566 |
| work_keys_str_mv | AT jonghoekkim tdoabasedtargettrackingfilterwhilereducingnloserrorsinclutteredenvironments |