A Novel NLOS Error Compensation Method Based IMU for UWB Indoor Positioning System

Yang, Xiaofei; Wang, Jun; Song, Dapeng; Feng, Beizhen; Ye, Hui

doi:10.1109/jsen.2021.3061468

“…Nevertheless, the limitation in bandwidth may be alleviated by taking into account frequency and spatial diversity as in the cases of mitigation and exploitation of MPCs [224]. In addition, the incorporation of new measurements such as the ones obtained from IMUs may contribute to the same objective [217].…”

Section: ) Discussion On Non-line Of Sightmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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“…Considering these three conditions, the compensation for the range errors caused by the NLOS condition could be made more accurate since it was shown that the three conditions possess different deviation errors [216]. Further improvements can also be achieved by incorporating information from IMU [217].…”

Section: ) Identification Of Non-line Of Sightmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

View full text Add to dashboard Cite

With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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“…According to whether there are obstacles between the BN and the MN, the channel can be divided into two types: line-of-sight (LOS) and non-line-of-sight (NLOS) propagation. In the real word, obstacles such as humans, tables, cars, plants and buildings surround the target node, which will cause reflection, diffraction and refraction of the electric signal during the transmission process and produce the signal time delay and inaccurate measurements [2], thus eventually lead to the deviation between the positioning trajectory and the actual mobile trajectory [3]. NLOS error is an adverse factor affecting the positioning accuracy, so it is especially crucial to eliminate NLOS error.…”

Section: Introductionmentioning

confidence: 99%

A Mobile Positioning Algorithm Based on Improved Robust Extended Kalman Filter with NLOS Identification and Mitigation

Wang

¹

,

Yang

²

,

Gong

³

2022

Preprint

0

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With the development of information age and the maturity of Internet of things (IoT) technology, wireless sensor network (WSN) has been widely applied in indoor localization. However, the non-line-of-sight (NLOS) environment and the inherent noise of the sensor will introduce errors in the measurement, which will seriously lead to inaccurate positioning. In this paper, a novel localization scheme based on mean reconstruction method is proposed, which reconstructs the distance measurements from each beacon nodes by taking the average twice to weaken the adverse effects of NLOS. At the same time, the noise average is re-estimated when the distance difference is tiny. Next, the robust extended Kalman filter (REKF) is used to process the reconstructed distance measurements to obtain positioning results. In order to prevent invalid reconstruction, hypothesis testing is used as NLOS identification to classify the position estimates which generated from all distance combinations by least-squares. Then we use residual weighting (RWGH) method to combine position estimates that fall into validation gate, and take it as a collaborative localization with the REKF algorithm. The simulation and experimental results show that the proposed algorithm has high positioning accuracy and strong positioning robustness.

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A Novel NLOS Error Compensation Method Based IMU for UWB Indoor Positioning System

Cited by 87 publications

References 30 publications

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

A Mobile Positioning Algorithm Based on Improved Robust Extended Kalman Filter with NLOS Identification and Mitigation

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