{"title":"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","authors":"Babak Menbari, A. Suratgar","doi":"10.1109/FREQ.2006.275449","DOIUrl":null,"url":null,"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","PeriodicalId":445945,"journal":{"name":"2006 IEEE International Frequency Control Symposium and Exposition","volume":"364 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Low- Power Low-Voltage VCO with Wide Range Tuning Controlled by Adaptive Neural Network\",\"authors\":\"Babak Menbari, A. Suratgar\",\"doi\":\"10.1109/FREQ.2006.275449\",\"DOIUrl\":null,\"url\":null,\"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\",\"PeriodicalId\":445945,\"journal\":{\"name\":\"2006 IEEE International Frequency Control Symposium and Exposition\",\"volume\":\"364 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Frequency Control Symposium and Exposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FREQ.2006.275449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Frequency Control Symposium and Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FREQ.2006.275449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
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
A Low- Power Low-Voltage VCO with Wide Range Tuning Controlled by Adaptive Neural Network
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