Multi-objective optimization of CMOS low noise amplifier through nature-inspired swarm intelligence
نویسندگان
چکیده
This paper presents the application of two swarm intelligence techniques, multi-objective artificial bee colony (MOABC) and particle optimization (MOPSO), to optimal design a complementary metal oxide semiconductor (CMOS) low noise amplifier (LNA) cascode with inductive source degeneration. The aim is achieve balanced trade-off between voltage gain figure. optimized LNA circuit operates at 2.4 GHz 1.8 V power supply implemented in 180 nm CMOS process. Both algorithms were MATLAB evaluated using ZDT1, ZDT2, ZDT3 test functions. designs then simulated advance system (ADS) simulator. results showed that MOABC MOPSO techniques are practical effective optimizing design, resulting better performance than previously published works, 21.2 dB figure 0.848 dB.
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ژورنال
عنوان ژورنال: Bulletin of Electrical Engineering and Informatics
سال: 2023
ISSN: ['2302-9285']
DOI: https://doi.org/10.11591/eei.v12i5.5512