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<p>A low noise amplifier (LNA) is an electronic device used in radio frequency systems to amplify weak signals while minimizing the addition of noise. LNAs are commonly employed at the front end of receiver chains to boost the strength of incoming signals, especially when signals are very weak, such as in wireless communication systems, radar receivers, and radio telescopes. This paper, based on simulations, presents an innovative approach to designing a Wolf-based Resistive Feedback Silicon on Insulator (WbRF-SOI) LNA to enhance sensitivity and optimize power consumption. This helps optimize the noise figure and increase bandwidth efficiency. The design targets explicitly the 24–32&#xa0;GHz frequency band within the mm-wave spectrum Making it suitable for 5G NR FR2 and other high-frequency wireless applications. The approach begins with optimizing frequency, bandwidth, and gain using Grey Wolf Optimization (GWO) to achieve optimal LNA performance. The proposed LNA achieves a high gain of 30.71 dB, a low noise figure of 1.0273 dB, and an extended bandwidth of 25.2&#xa0;GHz while consuming only 10.39 mW of DC power. A resistive feedback structure is incorporated to enhance broadband characteristics while ensuring low-impedance feedback for efficient signal amplification. Additionally, an inductive peaking circuit further improves low-noise and high-gain characteristics. This integration not only reduces the amplifier’s size but also decreases power consumption.</p>

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Design and grey wolf optimization of a wideband resistive feedback SOI low noise amplifier for 5G and mmWave applications

  • 期刊论文

  • 发表日期：

    2025年10月24日

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  • P. Venkateswarlu,
  • R.V.S. Satyanarayana

摘要

A low noise amplifier (LNA) is an electronic device used in radio frequency systems to amplify weak signals while minimizing the addition of noise. LNAs are commonly employed at the front end of receiver chains to boost the strength of incoming signals, especially when signals are very weak, such as in wireless communication systems, radar receivers, and radio telescopes. This paper, based on simulations, presents an innovative approach to designing a Wolf-based Resistive Feedback Silicon on Insulator (WbRF-SOI) LNA to enhance sensitivity and optimize power consumption. This helps optimize the noise figure and increase bandwidth efficiency. The design targets explicitly the 24–32 GHz frequency band within the mm-wave spectrum Making it suitable for 5G NR FR2 and other high-frequency wireless applications. The approach begins with optimizing frequency, bandwidth, and gain using Grey Wolf Optimization (GWO) to achieve optimal LNA performance. The proposed LNA achieves a high gain of 30.71 dB, a low noise figure of 1.0273 dB, and an extended bandwidth of 25.2 GHz while consuming only 10.39 mW of DC power. A resistive feedback structure is incorporated to enhance broadband characteristics while ensuring low-impedance feedback for efficient signal amplification. Additionally, an inductive peaking circuit further improves low-noise and high-gain characteristics. This integration not only reduces the amplifier’s size but also decreases power consumption.