A Low- Power Low-Voltage VCO with Wide Range Tuning Controlled by Adaptive Neural Network

Babak Menbari, A. Suratgar
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引用次数: 3

Abstract

In this paper a low power-low voltage operational transconductance amplifier and capacitor (OTA-C) oscillator based on a CMOS transconductor is proposed. The frequency of proposed VCO is controlled by adaptive neural network. OTA-C uses output cross coupled and interpolation. In this paper, a frequency tuning circuit for VCOs is introduced, so that the final relationship between oscillating frequency and input voltage is fixed and independent of the non-idealities. The adaptive neural network is applied for control of nonlinear parameters. The circuit has been fabricated in a standard 0.13mum CMOS process. Simulation results show a frequency tuning range from 52 to 164 MHz. The circuit uses 2V power supply with maximum 1.8 mW power consumption
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基于自适应神经网络控制的低功耗低压宽范围压控振荡器
本文提出了一种基于CMOS晶体管的低功耗、低电压跨导运算放大器和电容振荡器。采用自适应神经网络控制压控振荡器的频率。OTA-C使用输出交叉耦合和插值。本文介绍了一种用于压控振荡器的频率调谐电路,使振荡频率与输入电压之间的最终关系是固定的,并且不受非理想性的影响。将自适应神经网络应用于非线性参数的控制。该电路采用标准的0.13 μ m CMOS工艺制造。仿真结果表明,频率调谐范围为52 ~ 164 MHz。电路采用2V电源,最大功耗1.8 mW
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