Carlos De Marziani
Universidad de Alcalá, National University of Patagonia San Juan Bosco
Papers
9
Total Citations
219
H-Index
7
About
Carlos De Marziani is a leading figure in the development of advanced ultrasonic and acoustic local positioning systems (LPS), with a career dedicated to solving the fundamental challenge of precise indoor localization. His research focuses on signal encoding, multi-access techniques, and sensor design for robotics, autonomous vehicles, and ambient-assisted living. De Marziani’s most influential work, “Advanced sensorial system for an acoustic LPS” (65 citations), established foundational methods for acoustic positioning. He has made major contributions by pioneering the use of Zadoff–Chu, Kasami, and Chirp-based encoding schemes to improve system reliability and accuracy, as detailed in his 2019 paper (29 citations). His work on high-reliability outdoor sonar prototypes (27 citations) and ultrasonic LPS with large covered areas (25 citations) has been critical for mobile robot navigation and 3D indoor positioning. De Marziani also advanced the field by applying CDMA-like techniques to ultrasonic beacons (23 citations) and designing cylindrical PVDF transducers for expanded coverage. His notable achievements include developing FPGA-based beacon implementations and mutually orthogonal complementary sequences for sensor codification. With over 200 total citations, De Marziani’s research continues to shape the future of indoor positioning, offering robust solutions for applications ranging from emergency response to augmented reality.
Research Focus
Key Achievements
Top Papers
- 1Advanced sensorial system for an acoustic LPS65 citations · 2007
- 2EMFi-based ultrasonic transducer for robotics applications34 citations · 2008
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- 4High reliability outdoor sonar prototype based on efficient signal coding27 citations · 2006
- 5Ultrasonic Local Positioning System with Large Covered Area25 citations · 2007
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