Chinese Physics B, Volume. 29, Issue 9, (2020)
A high performance fast-Fourier-transform spectrum analyzer for measuring spin noise spectrums
Fig. 1. The architecture of the high performance FFT spectrum analyzer. Two optional operating modes are designed using the reconfigurable FPGA resources.
Fig. 2. The block diagram of the down-sampling and reconstruction module. The input data are reconstructed by using
Fig. 3. The frequency spectrums before and after down-sampling and filtering. (a)–(c) The produced signal aliasing when performing down-sampling. (d)–(f) The signal aliasing suppressed effectively by the implementation of the multi-stage filters.
Fig. 4. Block diagram of customized software for the FFT spectrum analyzer.
Fig. 5. Spin noise measurements for alkali metal Rb. (a)–(c) FFT spectrums measured with coarse mode, data reconstruction, and fine mode, respectively. In the fine mode, the input data are processed successively by the down converting module, the multi-stage digital filters, the multi-stage data reconstruction module, and the FFT module.
Fig. 6. The plots of the signal-to-noise-ratio versus the time span of spin noise measurements: (a) and (b) with a 1/4 GSa/s sampling rate, (c) and (d) with a 1/16 GSa/s sampling rate, (e) and (f) with a 1/256 GSa/s sampling rate.
Fig. 7. The test results of measuring mixed signals with different frequency components. Utilizing the high performance FFT spectrum analyzer to obtain the FFT spectrums, the mixed signals can be measured with a high frequency resolution, and the signals aliasing can be suppressed.
Fig. 8. The plots of frequency response characteristics of the filter. (a), (b) The filters operating at a 1/256 GSa/s and a 1 GSa/s sampling rates, respectively.
|
|
|
Get Citation
Copy Citation Text
Yu Tong, Lin Wang, Wen-Zhe Zhang, Ming-Dong Zhu, Xi Qin, Min Jiang, Xing Rong, Jiangfeng Du. A high performance fast-Fourier-transform spectrum analyzer for measuring spin noise spectrums[J]. Chinese Physics B, 2020, 29(9):
Received: Apr. 15, 2020
Accepted: --
Published Online: Apr. 29, 2021
The Author Email: Qin Xi (qinxi630@ustc.edu.cn)