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پنجمین کنفرانس بین المللی میکروالکترونیک ایران
Optimization of 6.5 GHz CMOS Low Noise Amplifier Applying Multi-objective Firefly Algorithm
نویسندگان :
Maryam Babasafari (دانشگاه زنجان) , Mostafa Yargholi (دانشگاه زنجان) , Mohammad Mostafavi (دانشگاه زنجان)
کلمات کلیدی :
Firefly Algorithm (FA)،Low Noise Amplifier،Multi-objective Function
چکیده :
This paper demonstrates an optimal low noise amplifier (LNA) design with applying Firefly Algorithm (FA). The FA is applied to optimize the noise figure (NF) and gain (similar to the input and output matching and linearity), although validating entirely the design constraints. Subsequently, there are five objectives for optimizing; they may treat as multi-objective optimization. Weighted sum access is accustomed to convert these objectives to a single objective function. Weights are set consistent through the objective function precedence. The suggested LNA has a cascode construction with an inductive source degeneration circuit for use at 6.5 GHz frequency; it is exploited to implement in ADS software at the UMC 0.18 µm CMOS technology with a 1.8 V supply voltage. The considered LNA has simulated assessments: Input reflection coefficient (S11) of -21dB, Output reflection coefficient (S22) of -14 dB, Voltage gain (S21) of 19.74 dB, noise figure (NF) of 1.42 dB, and IIP3 of -3 dBm at 6.5 GHz. The optimized LNA parameter assessment utilizing FA when simulated in MATLAB environment is instituted to be -26.46 dB, -18.41 dB, 20.51 dB, 1.29 dB and 0.325 dBm for S11, S22, S21, NF, and IIP3, respectively. The FA execution in optimizing the LNA parameters is also associated with the execution of other similar contemporary algorithms like particle swarm optimization (PSO) and cuckoo search algorithm (CSA). The consequences completely verify the FA’s superiority over other methods in expressions of its computational consistency and proficiency.
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