A Compressive Sampling-Based Channel Estimation Method for Network Visibility Instrumentation

This article proposes a novel method to estimate the frequency response of cables for applications of physical layer testing and network visibility. By exploiting compressive sampling, the method allows using analog-to-digital converters with a sampling frequency much lower than the symbol rate of t...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2020-05, Vol.69 (5), p.2335-2344
Main Authors: De Vito, Luca, Picariello, Francesco, Rapuano, Sergio, Tudosa, Ioan, Barford, Lee
Format: Article
Language:English
Subjects:
Analog to digital conversion
Analog to digital converters
Bandwidth
Cables
Channel estimation
communication channels
Communications equipment
compressive sampling (CS)
Computer simulation
Data communication
Data transmission
Frequency response
instrumentation
Instruments
Monitoring
network security
Orthogonal Frequency Division Multiplexing
Physical layer
Pulse amplitude modulation
Reflectometry
Sampling
Spread spectrum
Time-domain analysis
Time-frequency analysis
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Summary:This article proposes a novel method to estimate the frequency response of cables for applications of physical layer testing and network visibility. By exploiting compressive sampling, the method allows using analog-to-digital converters with a sampling frequency much lower than the symbol rate of the transmitted bit stream. Moreover, it does not need a properly generated signal, as it happens in time-domain reflectometry; however, any signal having a pulse-amplitude modulation, orthogonal frequency-division multiplexing (OFDM), or spread spectrum modulation can be used. Therefore, the transceiver actually used for data transmission can also be used to generate test signals for the channel estimation and the measurement instrument can be integrated into the data communication equipment without requiring additional generators. The mathematical formulation of the method is presented, together with its evaluation by numerical simulations and experimental tests. The results show the capability of the method of properly estimating the frequency response of the channel, even with a sampling frequency much lower than the symbol frequency.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2019.2947986