OCXO高精度时间维持的自适应修正算法

Adaptive correction algorithm for high precision time maintenance of OCXO

针对广泛使用的低功耗、低成本、小体积恒温晶体振荡器(OCXO)在没有外部高精度时钟源校正的情况下难以长时间维持高精度授时的问题,分析了OCXO驯服系统的噪声特性以及晶体振荡器的老化特性和温度特性;建立OCXO驯服系统的自适应控制模型并采用增广最小二乘算法,解决了OCXO长时间在没有参考时钟的情况下频率精度降低的问题。在考虑参考时钟失锁条件下,对模型和算法进行仿真验证,结果表明:与常用的OCXO驯服保持模型相比,提出的模型具有最佳的逼近性能。

Aiming at problem that widespread use of low power consumption,low cost,small volume oven controlled crystal oscillator（OCXO） is difficult to maintain high precision timing for a long time without external high precision clock,source correction,noise characteristics of OCXO tame system; aging and temperature characteristics of crystal oscillator are analyzed,adaptive control model for OCXO tame system is established and adopt augmented least-square algorithm,solve the problem that frequency precision of OCXO is decreasing for a long time in the absence of the reference clock. Considering reference clock failure conditions,the model and algorithm are verified by simulation. The simulation results show that compared with the commonly used OCXO tame containing model,this model has the optimal approximation performance.