Enhancing the Performance of Spectrum Mobility in Cognitive Radio Local Area Networks Using KF-ABF-SRE Estimators

Adardour, Haroun Errachid; Kameche, Samir

doi:10.1007/s11277-018-6085-7

Cited by 3 publications

(1 citation statement)

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“…It is highly encouraged to employ this filter when the uncertainty on the processed acquisition data can be understood, as a random noise, which's the distribution, is known a priori. However, one of the great advantages of the KF algorithm, are as follows: the estimation error, is considered as an indicator of accuracy; and its algorithm has a recursive nature in time domain, and it disposes an optimal estimator in the least-squares meaning [18,[28][29][30].…”

Section: Definitionmentioning

confidence: 99%

Embedded System Prototype to Fight Covid-19 Pandemic Contamination with Less Cost

Adardour

Hadjila

Irid

et al. 2021

Wireless Pers Commun

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In the shadow of the coronavirus (Covid-19) pandemic, the sterilization has become a major necessity for humans to avoid exponential Infection. In order to avoid touching contaminated surfaces, we develop an embedded system prototype, which allows the bottle or any other medium to pour the sterilization product without touching it. The human hands are detected using two sensors HC-SR04 and LM35. To overcome the stability problem due to the problem of sensor noise and enhance the system performance a Kalman filter algorithm is implemented to ensure stable hands detection. The efficiency of the prototype mounted on an Arduino board is checked. After the completion of the prototype, a comprehensive cost analysis is conducted.

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Section: Definitionmentioning

confidence: 99%