Poster + Paper
31 August 2022 DAC clipping buffer and data processing for TES readout
Ruirui Fan, Ran Duan
Author Affiliations +
Conference Poster
Abstract
The transition edge sensor (TES) bias waveform is the summation of carriers of equal, or similar, power. Because of the relative phases, the amplitude of the waveform at any given time sample will exceed the maximum range of the digital-toanalog converter (DAC). And this poses the problem of clipping buffer. Scale the waveform so that it fits within the DAC limits results in carrier and average powers that are reduced by the square of the scaling factor. Directly clip the waveform reduces the carrier power and introduces higher relative phase error. This work develops a clipping algorithm that can generate reliable buffer waveforms without affecting power in each carrier. In TES readout, we need to acquire the accurate initial phases of signals of interest. Coarse channelization followed by fine channelization can be adopted to achieve higher spectral resolution. In radio astronomy, the fast Fourier transform (FFT) is commonly used as channelization for signal processing, while it causes spectral leakage. And this problem can be greatly improved by the technique of polyphase filterbanks (PFB). The PFB consists of a polyphase FIR frontend and an FFT. In order to verify the effectiveness of PFB, we use FFT + FFT method and PFB + FFT method to acquire the initial phases and make a comparison.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruirui Fan and Ran Duan "DAC clipping buffer and data processing for TES readout", Proc. SPIE 12190, Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XI, 1219029 (31 August 2022); https://doi.org/10.1117/12.2628786
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fourier transforms

Data processing

Electronic filtering

Sensors

Spectral resolution

Resonators

Signal processing

Back to Top