Jingli Xie

ORCID: 0000-0002-8304-3596
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About
Contact & Profiles
Research Areas
  • Indoor and Outdoor Localization Technologies
  • Millimeter-Wave Propagation and Modeling
  • Advanced Adaptive Filtering Techniques
  • Underwater Vehicles and Communication Systems
  • Power Line Communications and Noise

Chang'an University
2021-2022

The radio channel modeling and location system are the focus of many research fields. However, their performance is largely limited by line-of-sight (LOS) non-line-of-sight (NLOS) conditions. Currently, most popular LOS/NLOS identification algorithm based on impulse response (CIR) feature. decision threshold applied to identify between LOS NLOS conditions this basis. features around usually very similar, which leads low accuracy. In letter, feature extracted from CIR used fit its...

10.1109/lwc.2023.3240846 article EN IEEE Wireless Communications Letters 2023-01-30

Safety driving is an essential requirement in the intelligent transportation system on expressways and urban roads. Particularly, identifying presence of visual connection between vehicle vehicle, i.e., non-line-of-sight (NLOS) identification, important for many sensor systems board such as optical radar, wireless positioning so forth. Usually NLOS identification can be done by checking line-of-sight propagation path radio systems. In this paper, we present a study based measurement data...

10.1109/iceict53123.2021.9531225 article EN 2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) 2021-08-18

In order to study the performance of different elimination methods on distance estimation forward error caused by non-line-of-sight (NLOS) propagation radio signals, this paper is based mean value, root square delay spread, skewness, kurtosis and peak-to-average ratio extracted from channel state information (CSI), combine it with logarithmic estimated time arrival (TOA) as feature input vector, through establishment Gaussian process regression (GPR), least support vector machine (LS-SVMR)...

10.1051/jnwpu/20224040865 article EN cc-by Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 2022-08-01
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