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A Reformed PSO-Based High Linear Optimized Up-Conversion Mixer for Radar Application.

Tahesin Samira Delwar1, Unal Aras1, Abrar Siddique2

  • 1Department of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Republic of Korea.

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|February 10, 2024
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Summary
This summary is machine-generated.

This study introduces a reformed particle swarm optimization (RPSO) algorithm to enhance radar up-conversion mixers. The RPSO algorithm improves performance by overcoming limitations of traditional methods, resulting in efficient and high-linearity radar circuits.

Keywords:
enhanced cross-quad transconductorradarreformed particle swarm optimizationtwo-fold transconductance pathup-conversion mixer

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Optimization Algorithms

Background:

  • Traditional up-conversion mixers in radar systems exhibit high power consumption, poor linearity, and inadequate conversion gain.
  • Existing optimization algorithms like traditional particle swarm optimization (TPSO) suffer from local optima and premature convergence issues.

Purpose of the Study:

  • To propose a reformed particle swarm optimization (RPSO) algorithm for optimizing up-conversion mixer circuits in radar applications.
  • To enhance mixer performance metrics including linearity, conversion gain, and power efficiency.
  • To address the limitations of traditional optimization methods in circuit design.

Main Methods:

  • Developed a novel RPSO algorithm incorporating velocity position-based convergence (VPC) and wavelet mutation (WM) strategies to improve swarm diversity and avoid local optima.
  • Implemented novel circuit configurations using a two-fold transconductance path (TTP) with a differential common source (DCS) amplifier and an enhanced cross-quad transconductor (ECQT) for improved linearity.
  • Validated RPSO effectiveness through benchmark function verification and comparison with genetic algorithm (GA) and non-dominated sorting genetic algorithm II (NSGA-II).

Main Results:

  • The RPSO optimized mixer achieved a measured conversion gain (CG) of 2.5 dB.
  • High linearity was demonstrated with a 1 dB compression point (OP1dB) of 4.2 dBm.
  • The mixer exhibited a low noise figure (NF) of approximately 3.1 dB and low power dissipation of 3.24 mW, with an average design time of 4.535 s using RPSO.

Conclusions:

  • The proposed RPSO algorithm effectively optimizes up-conversion mixer circuits for radar applications, overcoming limitations of traditional methods.
  • The novel circuit configurations and RPSO optimization yield significant improvements in conversion gain, linearity, noise figure, and power efficiency.
  • Simulation and measured results confirm the excellent performance of the RPSO-optimized up-conversion mixer.