北京航空航天大学学报 ›› 2015, Vol. 41 ›› Issue (12): 2250-2255.doi: 10.13700/j.bh.1001-5965.2015.0003

• 论文 • 上一篇    下一篇

改进的模拟温补晶振宽温补偿方法

韩艳菊1,2, 杨科2, 郑鸿耀2   

  1. 1. 北京航空航天大学 电子信息工程学院, 北京 100191;
    2. 北京无线电计量测试研究所, 北京 100854
  • 收稿日期:2015-01-04 修回日期:2015-02-12 出版日期:2015-12-20 发布日期:2016-01-04
  • 通讯作者: 杨科(1966-),男,北京人,高级工程师,Yangke6612@126.com,主要研究方向为晶体振荡器. E-mail:Yangke6612@126.com
  • 作者简介:韩艳菊(1976-),女,山东德州人,博士研究生,sdhanyj@sina.com

Modified wide temperature compensation method for analog TCXO

HAN Yanju1,2, YANG Ke2, ZHENG Hongyao2   

  1. 1. School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    2. Beijing Institute of Metrology and Measurement, Beijing 100854, China
  • Received:2015-01-04 Revised:2015-02-12 Online:2015-12-20 Published:2016-01-04

摘要: 当要求模拟温补晶体振荡器(TCXO)在宽温范围内频率温度稳定性优于±1×10-6时,使用传统补偿方法通常一次成功率低.通过对温补精度影响因素的分析,得出温补网络中热敏电阻测试方法和计算模型误差较大.因此,提出一种改进的宽温补偿方法.首先,参考热敏电阻在宽温范围内在线测试,获得实际数据;然后,待使用热敏电阻依据参考热敏电阻测试数据进行比例建模,得到各温度对应电阻值;最后,将建模后的待使用热敏电阻代入温补网络计算程序,采用遗传算法优化计算网络参数.通过与传统方法的对比试验,表明该方法建模的热敏电阻与实际测试值更接近,温补网络计算程序更灵活,温补一次成功率提高到约90%以上.

关键词: 晶体振荡器, 温度补偿, 热敏电阻, 遗传算法, 建模

Abstract: When the temperature frequency stability of the temperature compensated crystal oscillator (TCXO) is required better than ±1×10-6 in a wide temperature range, the rate of once success for the traditional compensation method is low. The compensation precision influences were carefully analyzed, and the reasons were drawn that the measurement method and the calculation model of the thermistors within the temperature compensation network caused the higher tolerance. So a modified wide temperature compensation method was provided. At first, the reference thermistors were measured on-line in the wide temperature range to obtain the practical data. Secondly, the thermistors for using were proportionally modeled according to the reference thermistors measurement data to acquire the resistance for each temperature. At last, the modeled thermistors were input into the temperature compensation program, and the genetic algorithm was used to compute the optimized network parameters. The contrast tests were carried out, and show that the thermistor values with new modeling method are closer to the test values than those with the traditional method, the compensation program is more flexible, and the rate of once success for temperature compensation is improved more than 90%.

Key words: crystal oscillator, temperature compensation, thermistor, genetic algorithm, modeling

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