残馀取样在射频/AMS设备测试中的应用

Shogo Katayama, Yudai Abe, A. Kuwana, Koji Asami, M. Ishida, Ryuya Ohta, Haruo Kobayashi
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引用次数: 1

摘要

本文介绍了我们先前提出的残差采样电路在射频/模拟混合信号(AMS)器件测试中的应用。残差采样电路使用多个低频采样电路在模拟希尔伯特滤波器和adc后提供高频信号估计;采样频率是相对素数的。它是基于波形采样的频域混叠现象和剩余数理论。提供一个高频余弦波作为输入信号。相同频率的余弦和正弦信号由模拟希尔伯特滤波器产生,并馈入不同(相对素数)低采样频率的采样电路。它们的模拟输出是模数转换的,并在两者上执行复杂的FFT。由于高频信号是用低频时钟采样的,因此会发生混叠(频谱折叠)。然而,由于采样电路中的每个采样时钟频率不同,因此每个混叠频率是不同的。根据中国剩余定理,这个差值可以估计输入频率。高频率分辨率可以在长时间周期和大量FFT点上实现。我们考虑在RF/AMS器件测试中的应用;(i)高频窄带设备的双音测试;(ii) LTE、蓝牙等无线通信设备测试;(iii)宽带模拟滤波器频率特性测试。模拟支持了这些考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Residue Sampling to RF/AMS Device Testing
This paper describes the application of our previously proposed residue sampling circuit to RF/Analog Mixed-Signal (AMS) device testing. The residue sampling circuit provides high-frequency signal estimation using multiple low-frequency sampling circuits following an analog Hilbert filter and ADCs; the sampling frequencies are relatively prime. It is based on aliasing phenomena in the frequency domain for waveform sampling and the residue number theory. A high frequency cosine wave is provided as an input signal. Cosine and sine signals with the same frequency are generated by an analog Hilbert filter and are fed into sampling circuits with different (relatively prime) low sampling frequencies. Their analog outputs are analog-to-digital converted and complex FFT is performed on both. Since the high frequency signal is sampled with low frequency clocks, aliasing (spectrum folding) occurs. However, each aliased frequency is different because each sampling clock frequency is different in the sampling circuits. Based on the Chinese remainder theorem, this difference allows the input frequency to be estimated. High frequency resolution can be achieved over long time periods and large numbers of FFT points. We consider here applications to RF/AMS device testing; (i) two tone testing for high frequency narrow band devices, (ii) wireless communication device testing such as LTE, Bluetooth and (iii) wideband analog filter frequency characteristics testing. These considerations are supported by simulations.
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