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<p>This work presents a novel low-noise amplifier design methodology that addresses the trade-off between gain and noise figure, aiming to improve signal quality in compressed spectrum sensing applications. Using the Agilent ATF-34143 transistor, we developed a mathematical framework to optimize source and load reflection coefficients based on constant noise and gain circles. The design achieves a reduction in global noise figure from 8 to 0.76 dB when cascaded with a USRP B210 SDR, and a global gain of 57.14 dB. Experimental validation demonstrates a 5<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\times\)</EquationSource> </InlineEquation> sensitivity improvement over a standalone SDR setup. This approach supports enhanced spectrum recovery in low-SNR scenarios and is directly applicable to software-defined radio platforms used in communication laboratories.</p>

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Improved Signal Quality in Compressed Spectrum Sensing: A Novel LNA Design Approach for SDR Boards

  • 期刊论文

  • 发表日期：

    2025年9月9日

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  • Hadj Abdelkader Benzater,
  • Arab Azrar,
  • Nacerredine Lassami,
  • Djamal Teguig,
  • Hamza Zeraoula

摘要

This work presents a novel low-noise amplifier design methodology that addresses the trade-off between gain and noise figure, aiming to improve signal quality in compressed spectrum sensing applications. Using the Agilent ATF-34143 transistor, we developed a mathematical framework to optimize source and load reflection coefficients based on constant noise and gain circles. The design achieves a reduction in global noise figure from 8 to 0.76 dB when cascaded with a USRP B210 SDR, and a global gain of 57.14 dB. Experimental validation demonstrates a 5 \(\times\) sensitivity improvement over a standalone SDR setup. This approach supports enhanced spectrum recovery in low-SNR scenarios and is directly applicable to software-defined radio platforms used in communication laboratories.