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On the Performance Tradeoff of an ISAC System with Finite Blocklength
Xiao Shen, Na Zhao, Yuan Shen
Integrated sensing and communication (ISAC) has been proposed as a promising paradigm in the future wireless networks, where the spectral and hardware resources are shared to provi…
A Semi-Supervised Learning Approach for Ranging Error Mitigation Based on UWB Waveform
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Localization systems based on ultra-wide band (UWB) measurements can have unsatisfactory performance in harsh environments due to the presence of non-line-of-sight (NLOS) errors. L…
Deep Generative Model for Simultaneous Range Error Mitigation and Environment Identification
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Received waveforms contain rich information for both range information and environment semantics. However, its full potential is hard to exploit under multipath and non-line-of-sig…
A Deep Learning Approach for Generating Soft Range Information from RF Data
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Radio frequency (RF)-based techniques are widely adopted for indoor localization despite the challenges in extracting sufficient information from measurements. Soft range informati…
Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Ultra-wideband (UWB)-based techniques, while becoming mainstream approaches for high-accurate positioning, tend to be challenged by ranging bias in harsh environments. The emerging…