Decision tree-extended finite impulse response filtering for pedestrian tracking over tightly integrated inertial navigation system/ultra wide band data

Xu, Yuan; Shmaliy, Yuriy S.; Hua, Luchi; Ma, Liyao; Zhuang, Yuan

doi:10.1088/1361-6501/abb38a

Cited by 7 publications

(12 citation statements)

References 41 publications

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“…The PlusOn 410 UWB [ 34 ], UWB Mini4sPlus [ 54 ], and BeSpoon [ 43 ] were each used in one article. Twelve articles did not report on the UWB sensor that was used in their study [ 37 , 40 , 42 , 45 , 48 , 49 , 52 , 53 , 55 , 56 , 63 , 64 ]. Detailed information on the sensor systems used, along with their update rates, is provided in Table 1 .…”

Section: Resultsmentioning

confidence: 99%

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Integrated UWB/MIMU Sensor System for Position Estimation towards an Accurate Analysis of Human Movement: A Technical Review

Yogesh,

Buurke,

Veltink

et al. 2023

Sensors

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Integrated Ultra-wideband (UWB) and Magnetic Inertial Measurement Unit (MIMU) sensor systems have been gaining popularity for pedestrian tracking and indoor localization applications, mainly due to their complementary error characteristics that can be exploited to achieve higher accuracies via a data fusion approach. These integrated sensor systems have the potential for improving the ambulatory 3D analysis of human movement (estimating 3D kinematics of body segments and joints) over systems using only on-body MIMUs. For this, high accuracy is required in the estimation of the relative positions of all on-body integrated UWB/MIMU sensor modules. So far, these integrated UWB/MIMU sensors have not been reported to have been applied for full-body ambulatory 3D analysis of human movement. Also, no review articles have been found that have analyzed and summarized the methods integrating UWB and MIMU sensors for on-body applications. Therefore, a comprehensive analysis of this technology is essential to identify its potential for application in 3D analysis of human movement. This article thus aims to provide such a comprehensive analysis through a structured technical review of the methods integrating UWB and MIMU sensors for accurate position estimation in the context of the application for 3D analysis of human movement. The methods used for integration are all summarized along with the accuracies that are reported in the reviewed articles. In addition, the gaps that are required to be addressed for making this system applicable for the 3D analysis of human movement are discussed.

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Section: Resultsmentioning

confidence: 99%

“…The majority of the included articles used a single MIMU on the subject except for four articles that used more than one MIMU [ 7 , 41 , 42 ]. Eight articles did not report on the MIMU sensor that was used in their study [ 32 , 37 , 42 , 45 , 48 , 55 , 56 , 66 ].…”

Section: Resultsmentioning

confidence: 99%

Integrated UWB/MIMU Sensor System for Position Estimation towards an Accurate Analysis of Human Movement: A Technical Review

Yogesh,

Buurke,

Veltink

et al. 2023

Sensors

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“…For this case, there are many approaches for seamless localization. For example, the EKF and LS-SVM were proposed (Chen et al, 2016)to achieve the seamless navigation, The decision tree method (Xu et al, 2020b) was used to compensate the outage of the UWB data, and the LS-SVM assisted UFIR filter was used (Xu et al, 2020c) in seamless indoor pedestrian tracking. Moreover, the Extreme Learning Machine (ELM) has its advantage and can be factored as a complement.…”

Section: Introductionmentioning

confidence: 99%

A FIR filter assisted with the predictive model and ELM integrated for UWB-based quadrotor aircraft localization

Dong

et al. 2023

Satell Navig

Self Cite

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To improve the accuracy of the Ultra-Wide Band (UWB) based quadrotor aircraft localization, a Finite Impulse Response (FIR) filter aided with an integration of the predictive model and Extreme Learning Machine (ELM) is proposed in this work. The FIR filter estimates the quad-rotor aircraft ’s position by fusing the positions measured with the UWB and Inertial Navigation System respectively. When the UWB dada are unavailable, both the ELM and the predictive model are used to provide the measurements, replacing those unavailable UWB data, for the FIR filter. The ELM estimates the measurement via the mapping between the one step prediction of state vector and the measurement built when the UWB data are available. For the predictive model, we mathematically describe the missing UWB data. Then, both the measurements estimated with the ELM and predictive model are employed to estimate the observations via Mahalanobis distance. The test results show that the FIR filter aided by the predictive model/ELM integrated can reduce the Cumulative Distribution Function and position Root Mean Square Error effectively when the UWB is unavailable. Compared with the ELM assisted FIR filter, the proposed FIR filter can reduce the localization error by about 48.59 %, meanwhile, the integrated method is close to the method with a better solution. Graphical Abstract

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“…It is used in: positioning and navigation devices, radar signal processing, multimedia and communication technology, etc. [1,2] Digital signal filtering allows you to isolate a useful signal from the background of noise or suppress interference spectral components. To implement a digital filter, time sampling and quantization of the analog signal amplitude is performed using an analog-todigital converter (ADC).…”

Section: Introductionmentioning

confidence: 99%

Features of the Digital Filters Implementation on Stm32 Microcontrollers

Zubkov¹,

Svyd²,

Vorgul³

2021

2021 III International Scientific and Practical Conference Theoretical and Applied Aspects of Device Development on Microcontro

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Decision tree-extended finite impulse response filtering for pedestrian tracking over tightly integrated inertial navigation system/ultra wide band data

Cited by 7 publications

References 41 publications

Integrated UWB/MIMU Sensor System for Position Estimation towards an Accurate Analysis of Human Movement: A Technical Review

Integrated UWB/MIMU Sensor System for Position Estimation towards an Accurate Analysis of Human Movement: A Technical Review

A FIR filter assisted with the predictive model and ELM integrated for UWB-based quadrotor aircraft localization

Features of the Digital Filters Implementation on Stm32 Microcontrollers

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