Satoshi Denno

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About

Satoshi Denno is a leading researcher in wireless communications and indoor localization, with a focus on innovative antenna systems and signal processing. His work centers on using leaky coaxial cables (LCX) for high-precision indoor positioning, addressing critical challenges in 5G and IoT environments. Denno’s major contributions include developing a two-dimensional RSSI-based indoor localization method using a probabilistic neural network, which significantly improves accuracy in complex indoor spaces—a paper that has garnered 19 citations for its practical impact on location-aware applications. He also pioneered a technique for simultaneous time-of-arrival (TOA) estimation of multiple users via LCX, tackling the growing demand for multi-user localization in healthcare, manufacturing, and robotics. This work, while newer with 3 citations, demonstrates his forward-thinking approach to scalable IoT systems. Denno’s research bridges theoretical signal processing with real-world deployment, making him a notable figure in advancing indoor localization technology for next-generation communications.