Performance of Digital Drone Signage System Based on DUET

In this letter, we study a scenario based on degenerate unmixing estimation technique (DUET) that separates original signals from mixture of FHSS signals with two antennas. We have shown that the assumptions for separating mixed signals in DUET can be applied to drone based digital signage recogniti...

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Bibliographic Details
Published inJournal of web engineering Vol. 21; no. 2; p. 391
Main Authors Sim, Isaac, Sun, Young Ghyu, Kim, Soo Hyun, Lee, SangWoon, Kim, Cheong Ghil, Kim, Jin Young
Format Journal Article
LanguageEnglish
Published Milan River Publishers 01.01.2022
Subjects
Algorithms
Fourier transforms
Iterative algorithms
Mixtures
Recognition
Separation
Signs
Simulation
Spread spectrum
Online AccessGet full text
ISSN1540-9589
1544-5976
DOI10.13052/jwe1540-9589.21211

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Summary:In this letter, we study a scenario based on degenerate unmixing estimation technique (DUET) that separates original signals from mixture of FHSS signals with two antennas. We have shown that the assumptions for separating mixed signals in DUET can be applied to drone based digital signage recognition signals and proposed the DUET-based separation scheme (DBSS) to classify the mixed recognition drone signals by extracting the delay and attenuation components of the mixture signal through the likelihood function and the short-term Fourier transform (STFT). In addition, we propose an iterative algorithm for signal separation with the conventional DUET scheme. Numerical results showed that the proposed algorithm is more separation-efficient compared to baseline schemes. DBSS can separate all signals within about 0.56 seconds when there are fewer than nine signage signals.
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ISSN:1540-9589
1544-5976
DOI:10.13052/jwe1540-9589.21211