采用冲激敏感函数的差分LC振荡器相位噪声分析

刘金华; 陈贵灿; 张鸿

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采用冲激敏感函数的差分LC振荡器相位噪声分析

更新时间：2025-07-09

- 采用冲激敏感函数的差分LC振荡器相位噪声分析
- Phase Noise Analysis for Differential Cross-Coupled LC Oscillators Using the Impulse Sensitivity Function
- 西安交通大学学报 2010年44卷第12期页码：66-70
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2010-04-11. 作者简介: 刘金华(1973-),男,博士生;张鸿(联系人),男,博士,讲师. 基金项目: 教育部高等学校博士学科点专项科研基金资助项目(20090201120025);西安应用材料创新基金资助项目(XA-AM-200816)
- DOI：
  中图分类号： TN432
- 网络首发：2010-12-10，
  
  纸质出版：2010
- 稿件说明：
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刘金华, 陈贵灿, 张鸿. 采用冲激敏感函数的差分LC振荡器相位噪声分析[J]. 西安交通大学学报, 2010,44(12):66-70.

Phase Noise Analysis for Differential Cross-Coupled LC Oscillators Using the Impulse Sensitivity Function[J]. 2010, 44(12): 66-70.
刘金华, 陈贵灿, 张鸿. 采用冲激敏感函数的差分LC振荡器相位噪声分析[J]. 西安交通大学学报, 2010,44(12):66-70. DOI：

Phase Noise Analysis for Differential Cross-Coupled LC Oscillators Using the Impulse Sensitivity Function[J]. 2010, 44(12): 66-70. DOI：

摘要

提出了一种基于冲激敏感函数(ISF)的具有较高预测精度的分析方法

并采用该方法研究了差分交叉耦合电感电容(LC)振荡器的相位噪声特性.首先推导出振荡器中任意噪声源与振荡器相位噪声的函数关系

然后求解出各噪声源所对应的等效ISF

并用等效ISF计算出每个噪声源的相位噪声贡献

最终获得整个相位噪声的完整解析式.仿真结果表明

所提方法对谐振槽和差分对管相位噪声贡献预测的相对误差与传统方法一致

分别为1.34%和2.88%

而对尾管噪声预测的相对误差与传统方法相比从20.4%下降到5.2%.另外

所提方法比传统方法更直观、简捷.

Abstract

A new method for analyzing the phase noise in the oscillator is proposed using the impulse sensitivity function(ISF)model to improve the prediction accuracy of phase noise in differential cross-coupled LC oscillators. A general relation expression between the phase noise and an arbitrary noise source in the oscillator is derived based on large-signal analysis. The effective ISF for each noise device is solved and employed to calculate the contribution of each device to the phase noise. The closed-form expression of phase noise due to the total thermal noise in the oscillator is determined explicitly. Simulation results show that the relative errors in noise prediction for the tank and the differential pair are 1.34% and 2.88%

respectively

and are consistent with conventional methods. The relative error in noise prediction for the tail transistor reduces to 5.2% from 20.4% of the conventional methods. Moreover

the proposed method is more intuitive

and easier to implement.

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references

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