An UWB Channel Impulse Response De-Noising Method for NLOS/LOS Classification Boosting

Jiang, Changhui; Chen, Shuai; Chen, Yuwei; Liu, Di; Bo, Yuming

doi:10.1109/lcomm.2020.3009659

Cited by 53 publications

(27 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interestingly, it was shown that combining the CNN with other ML techniques such as long short term memory can result in an improvement in the detection of the NLOS condition [183]. It was also shown that, by denoising the channel impulse response before training, the CNN can improve its classification accuracy although the improvement decreases as the number of convolutional layers increases [182]. Recently, a more sophisticated CNN, CapsNet [212], was modified to deal with signal classification in which signal waveform characteristics were converted in monochromatic images from which the CapsNet learns to distinguish between LOS and NLOS conditions [187].…”

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.

show abstract

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

show abstract

“…Previously we saw how the free outdoor LOS was chosen as the reference environment for the offset and standard deviation values. To take into account also other scenarios each time we check the Channel Impulse Response (CIR) [21] provided by the UWB modules. In case of some human obstruction, this parameter decreases, and we do not update the distance information waiting for a reasonable value of CIR.…”

Section: Uwb Systemmentioning

confidence: 99%

Human identification and tracking using ultra-wideband-vision data fusion in unstructured environments

et al. 2021

View full text Add to dashboard Cite

Nowadays, the importance of working in changing and unstructured environments such as logistics warehouses through the cooperation between Automated Guided Vehicles (AGV) and the operator is increasingly demanded. The challenge addressed in this article aims to solve two crucial functions of autonomy: operator identification, and tracking. These tasks are necessary to enable an AGV to follow the selected operator along his path. This paper presents an innovative, accurate, robust, autonomous, and low-cost operator real-time tracking system, leveraging the inherent complementarity of the uncertainty regions (2D ellipses) between ultra-wideband (UWB) transceivers and cameras. The test campaign shows how the UWB system has higher uncertainty in the angular direction. In contrast, in the case of the vision system, the uncertainty is predominant along the radial coordinate. Due to the nature of the data, a sensor fusion demonstrates improvement in the accuracy and goodness of the final tracking.

show abstract

“…In this paper, we propose a new UWB-based simultaneous localization and wall-mapping (SLAM) system to track the target's real-time movement in an unknown area. Specifically, two-way ranging is developed with the proposed UWB-based SLAM to capture the Time-Differenceof-Arrival (TDoA) of channel impulse response (CIR) signals [4], which are transmitted over a line-of-sight propagation path and reflected paths between the anchor nodes and the UWB tag. The real-time location of the UWB tag in the SLAM system is estimated according to the real-time TDoA measurements [5].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study of Two-way Ranging Optimization in UWB-based Simultaneous Localization and Wall-Mapping Systems

Li¹,

Wei

et al. 2022

2022 International Wireless Communications and Mobile Computing (IWCMC)

View full text Add to dashboard Cite

In this paper, we propose a new ultra-wideband (UWB)-based simultaneous localization and wall-mapping (SLAM) system, which adopts two-way ranging optimization on UWB anchor and tag nodes to track the target's real-time movement in an unknown area. The proposed UWB-based SLAM system captures time difference of arrival (TDoA) of the anchor nodes' signals over a line-of-sight propagation path and reflected paths. The real-time location of the UWB tag is estimated according to the real-time TDoA measurements. To minimize the estimation error resulting from background noise in the two-way ranging, a Least Squares Method is implemented to minimize the estimation error for the localization of a static target, while Kalman Filter is applied for the localization of a mobile target. An experimental testbed is built based on off-the-shelf UWB hardware. Experiments validate that a reflector, e.g., a wall, and the UWB tag can be located according to the two-way ranging measurement. The localization accuracy of the proposed SLAM system is also evaluated, where the difference between the estimated location and the ground truth trajectory is less than 15cm.

show abstract

An UWB Channel Impulse Response De-Noising Method for NLOS/LOS Classification Boosting

Cited by 53 publications

References 16 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

Human identification and tracking using ultra-wideband-vision data fusion in unstructured environments

An Experimental Study of Two-way Ranging Optimization in UWB-based Simultaneous Localization and Wall-Mapping Systems

Contact Info

Product

Resources

About