Oven Controlled MEMS Oscillator Device
    1.
    发明申请
    Oven Controlled MEMS Oscillator Device 审中-公开
    烤箱控制MEMS振荡器装置

    公开(公告)号:US20120305542A1

    公开(公告)日:2012-12-06

    申请号:US13150499

    申请日:2011-06-01

    CPC classification number: H03L1/022 H03L1/04

    Abstract: A system is disclosed that includes an oven and a micromechanical oscillator inside the oven configured to oscillate at a predetermined frequency at a predetermined temperature, where the predetermined frequency is based on a temperature dependency and at least one predetermined property. The system further includes an excitation mechanism configured to excite the micromechanical oscillator to oscillate at the predetermined frequency and a temperature control loop configured to detect a temperature of the micromechanical oscillator using resistive sensing, determine whether the temperature of the micromechanical oscillator is within a predetermined range of the predetermined temperature based on the temperature dependency and the at least one predetermined property in order to minimize frequency drift, and adapt the temperature of the micromechanical oscillator to remain within the predetermined range. The system further includes a frequency output configured to output the predetermined frequency of the micromechanical oscillator.

    Abstract translation: 公开了一种系统,其包括烘箱内部的微机械振荡器,其配置成在预定频率以预定温度振荡,其中预定频率基于温度依赖性和至少一个预定特性。 该系统还包括激励机构,其被配置为激励微机械振荡器以预定频率振荡;以及温度控制回路,其被配置为使用电阻感测来检测微机械振荡器的温度,确定微机械振荡器的温度是否在预定范围内 基于温度依赖性和至少一个预定特性,以便使频率漂移最小化,并使微机械振荡器的温度保持在预定范围内。 该系统还包括被配置为输出微机械振荡器的预定频率的频率输出。

    System and method for determining bit-error rates
    2.
    发明授权
    System and method for determining bit-error rates 失效
    用于确定误码率的系统和方法

    公开(公告)号:US06678844B2

    公开(公告)日:2004-01-13

    申请号:US09746039

    申请日:2000-12-22

    CPC classification number: H04L27/2614 H04L1/203

    Abstract: A method for estimating the BER for telecommunication systems, particular those characterized by signals having high crest factors or causing large inband nonlinear distortions. The set of signals used by the system is divided into subsets according to a characteristic such as signal crest factor, and a BER estimation method is chosen for each subset. Signals causing a large BER are simulated more efficiently using a Monte Carlo simulation, while low BER estimations more efficiently use a quasi-analytical method. The method results in improved accuracy because the noise contribution in quasi-analytical methods can be better approximated for signals having a small crest factor range, and drastically reduces the number of experiments, measurements or simulations which are needed to obtain an accurate BER estimation, as compared to standard Monte Carlo techniques.

    Abstract translation: 一种用于估计电信系统的BER的方法,特别是由具有高峰值因子或引起大带内非线性失真的信号表征的方法。 系统使用的信号集合根据诸如信号波峰因数的特性被划分为子集,并且为每个子集选择BER估计方法。 使用蒙特卡罗模拟更有效地模拟造成较大BER的信号,而低BER估计更有效地使用准分析方法。 该方法导致精度提高,因为准分析方法中的噪声贡献可以更好地逼近具有较小波峰因子范围的信号,并大大减少了获得准确BER估计所需的实验数,测量值或模拟数,如 与标准蒙特卡罗技术相比。

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