Hig h-Accurate Low-Volta ge Analog CMOS Curr ent D ivider Mod ify b y Neural N etwork and TLBO Algor ithm
Publish place: Journal of Advances in Computer Research، Vol: 8، Issue: 1
Publish Year: 1395
Type: Journal paper
Language: English
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JR_JACR-8-1_009
Index date: 2 July 2017
Hig h-Accurate Low-Volta ge Analog CMOS Curr ent D ivider Mod ify b y Neural N etwork and TLBO Algor ithm abstract
A high acccurate and low-voltage analog CMO S current divider w hich operates with a single power supply voltage is designed in 0.18µm CM OS standard technology. The propossed divider uses a differential ampllifier and transistoor in triodee region in order to perform the divisiion. The p roposed divider is modeled with neura l network while TLBO algorithm is used to optimize it. The proposed optimization method sho ws a clos e charactteristic to the ideal current-input volttage-output divider behavior over wide input raange. By using the achieved results of the TLBO algorithhm simul ation res ults using HSPIC E shows the maxi mum linearity error less than 0.5% .The total power consumption is below 0.14 mW with a single 1.5 V power s upply. The propose d divider was laid out in standard 0.18µm CMOS technology and shows high line arity .The output voltage offset is less than 3 mV under all situations. The proposeed scheme has pot ential to be employed in modern high-performance low-voltage analog signal processing systems.
Hig h-Accurate Low-Volta ge Analog CMOS Curr ent D ivider Mod ify b y Neural N etwork and TLBO Algor ithm Keywords:
CMOS Analog Integrated Circuit , Curre nt-mode Divider , Low-voltage Circuit , Neural Network , TLBO , High Accurate
Hig h-Accurate Low-Volta ge Analog CMOS Curr ent D ivider Mod ify b y Neural N etwork and TLBO Algor ithm authors
Behzad G hanavati
Department of Electrical Engiineering, College of Electrical Engine ering, Mahshahr Branch, Islamic Azad Universitty, Mahshahr ,Iran