Small-signal optimization approach to design of microwave signal switch ICs on MOS transistors

AbstractThe paper deals with precise analysis of simple AC variable gain CMOS amplifier. The circuit can be used as a simple voltage follower (6 MOS transistors are required) or amplifier. The main attention of this work is focused on a small-signal model of the proposed block and effects of additional passive network leading to compensation of its instability. The continuous gain adjusting in range from 1.1 to 10 (0.8 – 20 dB and with bandwidth 4.9 - 90 MHz at 5 pF load capacitance) is possible and the proposed amplifier is suitable for implementation in systems, where lower range of gain adjusting and large dynamical range is required. Theoretical analyses are supported by PSpice simulations (TSMC 0.18 um technological models) and experimental measurements with commercially available CMOS transistor fields (ALD1106/7) also confirm the discussed behavior of the amplifier.

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Small Signal Parameters Extraction for Silicon MOS Transistors

10.1109/euma.2000.338657 ◽

2000 ◽

Cited By ~ 5

Author(s):

A. Bracale ◽

D. Pasquet ◽

J.L. Gautier ◽

V. Ferlet ◽

N. Fel ◽

...

Keyword(s):

Small Signal ◽

Mos Transistors ◽

Signal Parameters ◽

Parameters Extraction

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An analytical optimization approach to the joint trajectory and signal optimization problem for connected automated vehicles

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2020.102759 ◽

2020 ◽

Vol 120 ◽

pp. 102759

Author(s):

Saeid Soleimaniamiri ◽

Amir Ghiasi ◽

Xiaopeng Li ◽

Zhitong Huang

Keyword(s):

Optimization Problem ◽

Optimization Approach ◽

Signal Optimization ◽

Automated Vehicles ◽

Connected Automated Vehicles

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Multibias scalable HEMT small-signal modeling based on a hybrid direct extraction/particle swarm optimization approach

Microelectronics Journal ◽

10.1016/j.mejo.2012.04.008 ◽

2012 ◽

Vol 43 (8) ◽

pp. 562-568 ◽

Cited By ~ 3

Author(s):

Y. Campos-Roca ◽

H. Massler ◽

A. Leuther

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Optimization Approach ◽

Small Signal ◽

Signal Modeling ◽

Direct Extraction ◽

Swarm Optimization ◽

Small Signal Modeling

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ANALOG MOS VECTOR MULTIPLIERS FOR THE IMPLEMENTATION OF SYNAPSES IN ARTIFICIAL NEURAL NETWORKS

Journal of Circuits System and Computers ◽

10.1142/s0218126691000057 ◽

1991 ◽

Vol 01 (02) ◽

pp. 205-228 ◽

Cited By ~ 7

Author(s):

FATHI M.A. SALAM ◽

MYUNG-RYUL CHOI

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Large Scale ◽

Percentage Error ◽

Small Signal ◽

Slew Rate ◽

Mos Transistors ◽

Maximum Percentage ◽

Analog Signals ◽

Artificial Neural

All-MOS analog vector-vector multipliers are described and designed for the implementation of the linear multiplication between analog signals and analog synaptic weights in artificial neural networks (ANNs). Employing these multipliers, large-scale artificial neural networks can be implemented using fewer MOS transistors than are required by implementations employing the so-called Gilbert multiplier. PSPICE circuit simulations have been extensively executed in order to quantify the performance of these multipliers by measuring the following specifications: maximum percentage error, output offset, X or Y nonlinearity, X or Y feedthrough, small-signal bandwidth, and slew rate. An 11-dimensional analog vector multiplier has been designed on a 40-pin MOSIS TINYCHIP with analog pads using the MAGIC VLSI tools and has been fabricated using 2 μm CMOS n-well process via MOSIS.

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