Design and Simulation of a Variable Gain Down Conversion Mixer for 2.4 GHz ISM Band Applications

Authors

  • Suneel Kumar GLA University, Mathura, Uttar Pradesh, India.
  • Abhay Chaturvedi GLA University, Mathura, Uttar Pradesh, India.
  • Aasheesh Shukla GLA University, Mathura, Uttar Pradesh, India.

DOI:

https://doi.org/10.70917/ijcisim-2026-2796

Keywords:

Current-Reuse Architecture, Current-Bleeding Technique, Down conversion Mixer, Variable-Gain Amplifier (VGA), Low-Power CMOS Receiver, 2.4 GHz ISM Band, Maritime Wireless Communication, Shipboard Wireless Sensor Networks

Abstract

In recent years, the importance of wireless sensor networks, maritime surveillance systems and autonomous marine systems has grown significantly, leading to the need for low power and high performance wireless receiver circuits in the 2.4 GHz ISM band. A low power down conversion mixer using current-reuse variable gain amplification technique is presented in this paper for maritime wireless communication. The proposed architecture is based on the concept of incorporating a variable gain amplifier inside the current-bleeding path of the mixer that allows adaptive gain control without consuming a significant amount of current through the path of the mixer. Simulated result shows a maximum gain for conversion of 17.8 dB and a VGR (Variable Gain Range) of about +44 dB and a minimum double-sideband noise figure of 7 dB. With just 5.6 mW of supply 1.8 V, the circuit provides an input third-order intercept point (IIP3) of −14.4 dBm. The results have shown that the proposed receiver front-end is suitable for marine IoT devices, shipboard wireless monitoring networks, and other  maritime communication systems exhibiting low power consumption and reliable reception under different channel conditions.

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Published

2026-07-06

How to Cite

Suneel Kumar, Abhay Chaturvedi, & Aasheesh Shukla. (2026). Design and Simulation of a Variable Gain Down Conversion Mixer for 2.4 GHz ISM Band Applications. International Journal of Computer Information Systems and Industrial Management Applications, 18(5s), 776–784. https://doi.org/10.70917/ijcisim-2026-2796

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Section

Original Articles