Optimized Trade-off Design of Gain and Noise Figure in LNAs for SDR-Based Compressed Spectrum Sensing

This paper presents a comprehensive study on the design and validation of Low-Noise Amplifiers (LNAs) optimized for Software-Defined Radio (SDR)-based Cognitive Radio Networks (CRNs). Aimed at enhancing the Signal-to-Noise Ratio (SNR) and improving compressed sensing efficiency, we developed a MATLA...

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Veröffentlicht in:	2025 3rd International Conference on Electronics, Energy and Measurement (IC2EM) S. 1 - 6
Hauptverfasser:	Benzater, Hadj Abdelkader, Azrar, Arab, Lassami, Nacerredine, Teguig, Djamal, Zeraoula, Hamza
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.05.2025
Schlagworte:	Cognitive radio Cognitive Radio Networks Compressed sensing Compressed Spectrum Sensing Gain Graphical User Interface Graphical user interfaces MATLAB Noise figure Sensors Signal to noise ratio Software radio Software-Defined Radio System software
Online-Zugang:	Volltext
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