J4 ›› 2013, Vol. 51 ›› Issue (03): 505-513.
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YANG Yi jun, CHEN De bao, WANG Jiang tao, DING Guo hua
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Abstract:
Particle swarm optimization algorithm, which uses the product of the transimpedance gain and common mode rejection ratio to divide the output resistance as the fitness function, was used to adaptively optimize the values of the resistance of two\|level direct coupled negative feedback differential\|common emitter circuit under the requirements of large transimpedance gain, high common\|mode rejection ratio, low output resistance. The results indicate that the values of resistance always tend to set value limit to derive the maximal fitness function when the transimpedance gain and output resistance are respectively restricted, and the results were obtained under the requirements of the algorithm. Moreover, the optimal parameters can be found by changing fitness function under considering the different needs of the amplifier in engineering. With EWB software simulation, the relative error between transimpedance gain and theory for the calculation of feedback amplifier is 0.515%.
Key words: particle swarm optimization, transimpedance gain, common mode rejection ratio, output resistance, simulation
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YANG Yi-Jun, CHEN De-Bao, WANG Jiang-Chao, DING Guo-Hua. Adaptive Optimization of Parameters for Differential\|Common Emitter Circuit Based on Particle Swarm Optimization Algorithm[J].J4, 2013, 51(03): 505-513.
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http://xuebao.jlu.edu.cn/lxb/EN/Y2013/V51/I03/505
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