Results 91 to 100 of about 2,537,645 (154)

Feature selection for real-time nlos identification and mitigation for body-mounted uwb transceivers

Ultra-wideband (UWB) is a popular technology for indoor positioning systems (IPSs) due to its robust signaling in harsh environments, through-wall propagation, and high-resolution ranging.
Catarino, André P., Ferreira, André Filipe Gonçalves, Monteiro, João L., Branco, Sérgio, Fernandes, Duarte Manuel Azevedo   +4 more
core   +1 more source

NLOS Identification and Mitigation for Localization

, 2010
Sensor networks can benefit greatly from location-awareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwidth (UWB) transmission is a promising technology for location-aware sensor networks,
Gifford, Wesley,, Marano, Stefano, Henk Wymeersch, Win, Moe Z., Gifford, Wesley Michael, Maranò, Stefano,, Gifford, Wesley, Wymeersch, Henk,, Wymeersch, Henk, Win, Moe, Stefano Marano, Moe Win, Wesley Gifford, Win, Moe,   +13 more
core   +1 more source

RSSI-based Methods for LOS/NLOS Channel Identification in Indoor Scenarios

, 2019
In this paper, we investigate classification methods aiming at identifying the Line-Of-Sight (LOS) or Non-LOS (NLOS) condition of a wireless channel. Our approach is based on the computation of statistical features over N consecutive channel measurements
Yu, Y., Fabrizio Carpi, CARPI, FABRIZIO, Davoli, Luca, Martalo', M., Yingjie Yu, Martalo, Marco, Wang, Yi, Yi Wang, Luca Davoli, Cilfone, Antonio, Marco Martalo, Carpi, F., Ferrari, G., Ferrari, Gianluigi, Cilfone, A., Wang, Y., Yu, Yingjie, Antonio Cilfone, Gianluigi Ferrari, Davoli, L.   +20 more
core   +1 more source

RIM-Net: A Real-Imaginary-Magnitude Network for NLOS/LOS Identification in UWB Indoor Positioning Systems

IEEE Access
In UWB-based indoor positioning research, NLOS signals severely degrade localization accuracy. To address the NLOS/LOS discrimination challenge, this paper proposes the RIM-Net model, which enhances CIR signal feature learning by integrating residual ...
Jiacheng Ni, Fang Li, Shuai Cao, Linsong Li   +3 more
doaj   +1 more source

Enhancing UWB Indoor Positioning Accuracy through Improved Snake Search Algorithm for NLOS/LOS Signal Classification

Sensors
Non-line-of-sight (NLOS) errors significantly impact the accuracy of ultra-wideband (UWB) indoor positioning, posing a major barrier to its advancement.
Fang Wang, Lingqiao Shui, Hai Tang, Zhe Wei   +3 more
doaj   +1 more source

Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks. [PDF]

Sensors (Basel), 2019
Cwalina KK, Rajchowski P, Blaszkiewicz O, Olejniczak A, Sadowski J.   +4 more
europepmc   +1 more source

NLOS Error Mitigation Using Weighted Least Squares and Kalman Filter in UWB Positioning

, 2022
In wireless positioning systems, non-line-of-sight (NLOS) is a challenging problem. NLOS causes great ranging bias and location error, so NLOS mitigation is essential for high accuracy positioning.
Fan, Ruixin, Du, Xin
core  

Indoor Smartphone Localization Based on LOS and NLOS Identification. [PDF]

Sensors (Basel), 2018
Jo HJ, Kim S.
europepmc   +1 more source

NLOS Identification in WLANs Using Deep LSTM with CNN Features. [PDF]

Sensors (Basel), 2018
Nguyen VH, Nguyen MT, Choi J, Kim YH.
europepmc   +1 more source

Neural-Network-based NLOS Identification in Angular Domain at 60-GHz [PDF]

This paper introduces an identification method that determines whether a millimeter-wave wireless transmission using directional antennas is being established over a line-of-sight (LOS) or a non-line-of-sight (NLOS) cluster for indoor localization ...
Sarrazin, Julien, Ren, Zhuoxiang, Benlarbi-Delaï, Aziz, Lyu, Pengfei   +3 more
core   +1 more source