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C. De Marziani

Researcher at University of Alcalá

Publications -  31
Citations -  458

C. De Marziani is an academic researcher from University of Alcalá. The author has contributed to research in topics: Local positioning system & Ultrasonic sensor. The author has an hindex of 12, co-authored 31 publications receiving 441 citations. Previous affiliations of C. De Marziani include National University of Patagonia San Juan Bosco & University of Extremadura.

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Journal ArticleDOI

Modular Architecture for Efficient Generation and Correlation of Complementary Set of Sequences

TL;DR: This work presents a generalization of Recursive algorithms with the purpose of obtaining complementary sets of M sequences with length L, the number of sequences M being a power of two (M=2m), and the length L aPower of M with m,Nisin N-{0}.
Journal ArticleDOI

Advanced sensorial system for an acoustic LPS

TL;DR: The main advantage of this proposal is to permit the coexistence of an unlimited number of portable receivers, what is useful in applications like multirobot cooperation.
Proceedings ArticleDOI

Performance comparison of different codes in an ultrasonic positioning system using DS-CDMA

TL;DR: In this work, several Code Division Multiple Access encoding schemes are evaluated for their application in ultrasonic sensory systems based on the determination of times-of-flight by experimentally tested in a privacy-oriented ultrasonic Local Positioning System based on hyperbolic trilateration.
Proceedings ArticleDOI

Iimprovement of ultrasonic beacon-based local position system using multi-access techniques

TL;DR: A local positioning system (LPS) for mobile robots (MR) using simultaneous emissions in the ultrasonic beacons using direct sequence code division multiple access (DS-CDMA) is shown.
Journal ArticleDOI

High reliability outdoor sonar prototype based on efficient signal coding

TL;DR: A novel sonar prototype based on complementary sequences coding is developed and experimentally tested, which provides the system with very useful additional features, namely, high robustness to noise, multi-mode operation capability, and the possibility of applying an efficient detection algorithm that notably decreases the hardware resource requirements.