Yunxiang Liu

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About

Yunxiang Liu is a researcher specializing in radar systems and signal processing, with a particular focus on low-cost, software-defined radar platforms for indoor sensing applications. His most cited work, "USRP based OFDM radar systems for doorway detection" (2014), demonstrates a novel approach to open doorway detection in indoor environments using the Universal Software Radio Peripheral (USRP) test bed. By leveraging Orthogonal Frequency Division Multiplexing (OFDM) waveforms, Liu exploits the flexibility of subcarrier occupation to enable effective narrowband radar detection. This contribution addresses the growing need for affordable, reconfigurable radar solutions in security and surveillance contexts. With 6 citations, his work has influenced subsequent research in software-defined radar and indoor target detection. Liu’s research bridges the gap between theoretical signal processing and practical, low-cost implementation, making advanced radar techniques accessible for real-world applications. His achievements highlight the potential of USRP-based systems to democratize radar technology, offering a scalable platform for further innovation in through-wall and doorway detection systems.