An IR-UWB Multi-Sensor Approach for Collision Avoidance in Indoor Environments

Khan, Faheem Ullah; Azou, Stéphane; Youssef, Roua; Morel, Pascal; Rădoi, Emanuel; Dobre, Octavia A.

doi:10.1109/tim.2022.3150582

Cited by 20 publications

(11 citation statements)

References 46 publications

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“…With the given echoes for estimating P f a,S , the threshold component T could be obtained based on the gamma cumulative distribution function [17]:…”

Section: Mca-cfar and Adaptive Threshold Acquisitionmentioning

confidence: 99%

“…With the information obtained from human targets after processing radar echoes, real-time monitoring and analyses of the human body status have become a possible noninvasive healthcare approach. Furthermore, UWB radar has great research value and application potential because of its noncontact detection and privacy protection abilities in healthcare [13,14], clinical monitoring [10,15], the smart home industry [16,17], and various indoor applications [18,19], which arouses continuous interest among researchers around the globe.…”

Section: Introductionmentioning

confidence: 99%

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Two-Step Accuracy Improvement for Multitarget Detection in Complex Environment Using UWB Radar

Liang,

Jin,

Yang

et al. 2024

Remote Sensing

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Detecting multiple human targets in indoor scenarios using ultra-wideband (UWB) radar usually involves false detection results caused by the secondary reflections, which might reduce the target detection accuracy and cause a more severe deterioration when the number of targets increases. This article proposed a two-step accuracy improvement method for multitarget detection in environments with multiple human targets of more than three and strong secondary reflections by the surroundings, especially the walls. Based on the rough detection results acquired by the modified CA-CFAR (MCA-CFAR) processing, the first step achieves the primary false alarm suppression using a short-window accumulation in the time domain. Then, the second step applies the decision confidence on the detection results from the first step to assess the reliability of results for improved accuracy. The two-step accuracy improvement could thus have a higher accuracy through cascading false alarm suppression. The effectiveness and accuracy of the proposed algorithm are verified based on the experimental results.

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“…With the given echoes for estimating P f a,S , the threshold component T could be obtained based on the gamma cumulative distribution function [17]:…”

Section: Mca-cfar and Adaptive Threshold Acquisitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two-Step Accuracy Improvement for Multitarget Detection in Complex Environment Using UWB Radar

Liang,

Jin,

Yang

et al. 2024

Remote Sensing

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“…(3) its low transmission power means that UWB beacons can operate for long periods without maintenance [60]; and (4) it causes very little interference with other wireless signals operating in the same area [60], among many other useful properties [60]. This makes UWB an almost ideal candidate for any IPS.…”

Section: Uwbmentioning

confidence: 99%

“…As shown in Table 3, it is capable of achieving the sub-10 cm localization errors targeted by 6 G. Most of the research on UWB IPS is based on ranging estimates from Time of Flight (ToF) measurements [63,64]. Despite the improved ability of UWB to penetrate a wide range of objects [60], it remains subject to ranging errors induced by NLoS conditions [64]. To address this, the detection of the NLoS condition [11,65] and mitigation of the resulting ranging errors [65] have become active areas of research.…”

Section: Uwbmentioning

confidence: 99%

On Indoor Localization Using WiFi, BLE, UWB, and IMU Technologies

Leitch,

Ahmed,

Abbas

et al. 2023

Sensors

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Indoor localization is a key research area and has been stated as a major goal for Sixth Generation (6G) communications. Indoor localization faces many challenges, such as harsh wireless propagation channels, cluttered and dynamic environments, non-line-of-sight conditions, etc. There are various technologies that can be applied to address these issues. In this paper, four major technologies for implementing an indoor localization system are reviewed: Wireless Fidelity (Wi-Fi), Ultra-Wide Bandwidth Radio (UWB), Bluetooth Low Energy (BLE), and Inertial Measurement Units (IMU). Sections on Data Fusion (DF) and Machine Learning (ML) have been included as well due to their key role in Indoor Positioning Systems (IPS). These technologies have been categorized based on the techniques that they employ and the associated errors in localization. A brief comparison between these technologies is made based on specific performance metrics. Finally, the limitations of these techniques are identified to aid future research.

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“…In this paper, we use two inexpensive FMCW RADARs to build a 2D sector and grid. The difference between this paper and the papers that improved the performance through the existing DNN [ 24 , 25 ] is that the complexity is improved. In the proposed method, we learn the sector position data, which is the approximate position of the object, and the grid position, which is the position of the detailed object, measured by two FMCW RADARs.…”

Section: Introductionmentioning

confidence: 96%

Method for Improving Range Resolution of Indoor FMCW Radar Systems Using DNN

Park

Kim

Jung

et al. 2022

Sensors

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Various studies on object detection are being conducted, and in this regard, research on frequency-modulated continuous wave (FMCW) RADAR is being actively conducted. FMCW RADAR requires high-distance resolution to accurately detect objects. However, if the distance resolution is high, a high-modulation bandwidth is required, which has a prohibitively high cost. To address this issue, we propose a two-step algorithm to detect the location of an object through DNN using many low-cost FMCW RADARs. The algorithm first infers the sector by measuring the distance to the object for each FMCW RADAR and then measures the position through the grid according to the inferred sector. This improves the distance resolution beyond the modulation bandwidth. Additionally, to detect multiple targets, we propose a Gaussian filter. Multiple targets are detected through an ordered-statistic constant false-alarm rate (OS-CFAR), and there is an 11% probability that multiple targets cannot be detected. In the lattice structure proposed in this paper, the performance of the proposed algorithm compared to those in existing works was confirmed with respect to the cost function. The difference in performance versus complexity was also confirmed when the proposed algorithm had the same complexity and the same performance, and it was confirmed that there was a performance improvement of up to five-fold compared to those in previous papers. In addition, multi-target detection was shown in this paper. Through MATLAB simulation and actual measurement on a single target, RMSEs were 0.3542 and 0.41002 m, respectively, and through MATLAB simulation and actual measurement on multiple targets, RMSEs were confirmed to be 0.548265 and 0.762542 m, respectively. Through this, it was confirmed that this algorithm works in real RADAR.

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An IR-UWB Multi-Sensor Approach for Collision Avoidance in Indoor Environments

Cited by 20 publications

References 46 publications

Two-Step Accuracy Improvement for Multitarget Detection in Complex Environment Using UWB Radar

Two-Step Accuracy Improvement for Multitarget Detection in Complex Environment Using UWB Radar

On Indoor Localization Using WiFi, BLE, UWB, and IMU Technologies

Method for Improving Range Resolution of Indoor FMCW Radar Systems Using DNN

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