Spread Spectrum Sensing Based on ZCZ Sequences for the Diagnosis of Noisy Wired Networks

Autor:	Mouad Addad, Ali Djebbari
Rok vydání:	2021
Předmět:	Sequence Noise measurement Computer science 010401 analytical chemistry 01 natural sciences 0104 chemical sciences Spread spectrum Noise Signal-to-noise ratio Robustness (computer science) Time domain Electrical and Electronic Engineering Reflectometry Instrumentation Algorithm
Zdroj:	IEEE Sensors Journal. 21:914-920
ISSN:	2379-9153 1530-437X
DOI:	10.1109/jsen.2020.3009182
Popis:	Spread spectrum reflectometry has been shown to be an effective method for continuous health monitoring of electrical systems in many different applications. The suitability of Zero Correlation Zone (ZCZ) sequences in Sequence Time Domain Reflectometry (STDR) method has been demonstrated in a previous work. In fact, the ZCZ-STDR method showed excellent potential for simultaneous diagnosis of multiple cables. This paper focuses on evaluating the noise robustness and the effect of branched wire networks on the performance of both STDR and Spread Spectrum Time Domain Reflectometry (SSTDR) methods based on ZCZ sequences.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::671734560b0f41ec64b82ec124d60a99 https://doi.org/10.1109/jsen.2020.3009182 Zobrazit plný text záznamu