Linear Bayesian Filter Based Low-Cost UWB Systems for Indoor Mobile Robot Localization

Zhang, Shuai; Han, Ruihua; Huang, Wankuan; Wang, Shuaijun; Hao, Qi

doi:10.1109/icsens.2018.8589829

Cited by 13 publications

(11 citation statements)

References 7 publications

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“…Ultrawide band (UWB) technology refers to one of the most state‐of‐the‐art, accurate and promising technologies, 12‐14 and it has been introduced for localization 15,16 . The mentioned UWB positioning systems are primarily employed for indoor localization in the meter range 17‐19 and in K‐band, and the optimal indoor position error also falls into the centimeter range 20 . However, rare systems have been developed for millimeter level positioning.…”

Section: Introductionmentioning

confidence: 99%

Field scattering localization based on compressed sensing

Tang

Lin

et al. 2021

Int J RF Microw Comput Aided Eng

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In the present study, a regional localization system is proposed based on the variation of the scattering field in ultrawide band (UWB) frequencies. The system uses the UWB antennas to transmit and receive the sweep sparse signal in the measured area. Subsequently, the compressed sensing (CS) algorithm is employed for localization. To increase the positioning accuracy, the randomness of signal distribution should be improved. Different from the previous designs, the scattering obstacles are introduced between the target and the antennas. Through simulation and experiment, a localization system composed of two transmitters and one receiver working at 10–20 GHz is proposed, leveraging the UWB source antennas and grid metal barriers. By complying with the sparse reconstruction algorithm of the CS method, the positioning accuracy of 1.4 mm is obtained in the area of 40 × 40 mm2 at 40 mm distance. The system is capable of locating in small areas effectively based on simple setup, and potentially applied to human‐computer interaction of wearable devices and other local positioning applications.

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Section: Introductionmentioning

confidence: 99%

Field scattering localization based on compressed sensing

Tang

Lin

et al. 2021

Int J RF Microw Comput Aided Eng

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“…Recently, extensive researches have been carried out on the use of UWB systems in indoor communications [12]. For example, the high‐resolution capabilities and low design cost suggest UWB systems as a solution for the design of high accuracy‐low cost location‐based services for indoor applications [12–14]. Also, due to the high data rate capabilities, it has been proposed to use UWB technology for indoor‐short distance communications between various components of a system.…”

Section: Introductionmentioning

confidence: 99%

Multiple‐access ultrawideband communications using frequency modulation of quasi‐orthogonal impulse‐like waveforms

Shishter

Hussain

2020

IET Communications

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“…The demands of indoor position sensing arise in various applications, such as human guiding [2], public security [3], classified advertisements [4], valuables monitoring [5], emergency rescue [6], underground parking [7] and augmented reality [8]. Researchers have investigated a wide variety of wireless signals with different physical properties or protocols for indoor position sensing, including infrared signals [9], ultrasound signals [10], and radio signals such as the Bluetooth [11], radio frequency identification (RFID) signals [12], ultra-wideband (UWB) signals [13], and Wi-Fi signals. Among those techniques, the Wi-Fi-based indoor position sensing has the advantages of low infrastructure cost and high reliability, since Wi-Fi networks are now extensively accessible in the residential areas, office spaces, and commercial districts.…”

Section: Introductionmentioning

confidence: 99%

A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation

Xie

Jiang

Zhao

et al. 2019

Sensors

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Wi-Fi-based indoor position sensing solutions have the advantages of easy integration in mobile phones and low cost by using existing Wi-Fi access points. The mainstream methods are commonly based on the received signal strength indicator (RSSI), which suffers from multipath interference in complicated indoor environments. Through the in-depth analysis of the multipath interference, an RSSI-assisted time difference of arrival (TDoA) method is proposed for Wi-Fi-based indoor position sensing in this work. The key idea is to compensate for the multipath interference in the received signals based on the coarse estimation using RSSI and TDoA calculation. A prototype system has been implemented to validate the proposed method. Experimental results have demonstrated the effectiveness of the proposed method, especially for handling the multipath interference with small propagation delay difference. Experimental results show that the indoor position sensing system can achieve a 90th percentile error of 0.3 m. The proposed method can also achieve moderate computational complexity and moderate real-time performance compared to other methods.

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Linear Bayesian Filter Based Low-Cost UWB Systems for Indoor Mobile Robot Localization

Cited by 13 publications

References 7 publications

Field scattering localization based on compressed sensing

Field scattering localization based on compressed sensing

Multiple‐access ultrawideband communications using frequency modulation of quasi‐orthogonal impulse‐like waveforms

A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation

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