Hongpeng Ma

Jiangsu University of Science and Technology

Papers

Total Citations

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About

Hongpeng Ma is a researcher specializing in ultra-wideband (UWB) localization for indoor mobile robotics, with a particular focus on enhancing positioning accuracy through time difference of arrival (TDOA) algorithms. His most-cited work, the 2021 paper "Improved TDOA Two-Stage UWB Localization Algorithm For Indoor Mobile Robot," has garnered 10 citations, establishing a foundation for improving service quality in autonomous indoor navigation. Ma’s major contribution lies in developing a two-stage UWB positioning algorithm that systematically addresses the basic principles and error sources inherent in TDOA-based localization, offering a refined approach to mitigating signal interference and multipath effects in cluttered environments. This work is pivotal for advancing the reliability of mobile robots in applications such as warehouse logistics, healthcare assistance, and smart home services. By targeting the core challenges of indoor positioning—accuracy, robustness, and real-time performance—Ma’s research bridges the gap between theoretical UWB signal processing and practical robotic deployment. His findings are particularly valuable for engineers and students exploring cost-effective, high-precision localization solutions, positioning him as a notable contributor to the growing field of indoor robotics and sensor fusion.