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Digital based calibration technique for continuous-time bandpass sigma-delta analog-to-digital converters

机译:连续时间带通sigma-delta模数转换器的基于数字的校准技术

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摘要

In this paper, a calibration technique for Noise Transfer Function (NTF) optimization of Continuous-Time Bandpass Sigma Delta (CT BP EA) modulators is presented. The proposed technique employs a test tone applied at the input of the quantizer to evaluate the noise transfer function of the Analog-to-Digital Converter (ADC) using the capabilities of the Digital Signal Processing (DSP) platform usually available in mixed-mode systems. Once the ADC output bit stream is captured, necessary information to generate the control signals to tune the ADC parameters for best Signal-to-Quantization Noise Ratio (SQNR) performance is extracted via an LMS software-based algorithm. Simulation results show that notch frequency of the NTF due to process variations and temperature tolerances can be tuned using the proposed methodology. The proposed global calibration approach can be used during the system start-up and the idle system time. The proposed approach uses a single in-band calibration tone, but it can be expanded using out-of band test tones for background calibration schemes.
机译:本文提出了一种校准技术,用于连续时间带通Sigma Delta(CT BP EA)调制器的噪声传递函数(NTF)优化。所提出的技术采用了在量化器的输入端施加的测试音,以利用通常在混合模式系统中可用的数字信号处理(DSP)平台的功能来评估模数转换器(ADC)的噪声传递函数。 。一旦捕获到ADC输出位流,就可以通过基于LMS的算法提取必要的信息,以生成控制信号以调整ADC参数以获得最佳的信噪比(SQNR)性能。仿真结果表明,可以使用所提出的方法来调整由于工艺变化和温度公差引起的NTF陷波频率。提议的全局校准方法可以在系统启动和空闲系统时间期间使用。所提出的方法使用单个带内校准音,但是可以使用带外测试音将其扩展用于背景校准方案。

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