Zhu, J., Ma, J., Liu, Z., Qu, F., Zhu, Z., & Zhang, Q. (2024, October 25). A Modulo Sampling Hardware Prototype and Reconstruction Algorithm Evaluation. arXiv. https://arxiv.org/abs/2410.19383v1
This research aims to design and implement a modulo ADC hardware prototype that overcomes the dynamic range limitations of traditional ADCs and evaluate the performance of existing and novel signal reconstruction algorithms in accurately recovering the original signal from modulo samples.
The authors developed a modulo ADC hardware prototype using a mixed analog and digital feedback circuit to fold high dynamic range signals into the low dynamic range of a standard ADC. They evaluated the prototype's performance using four types of signals: a single sine wave, a superposition of two sine waves, a frequency-shift keying (FSK) signal, and an amplitude-shift keying (ASK) signal. Three state-of-the-art reconstruction algorithms, Unlimited Sampling Algorithm (USAlg), Linear Prediction (LP), and Unlimited Sampling Line Spectral Estimation (USLSE), were employed to recover the original signals from the modulo samples acquired by the prototype.
The modulo ADC prototype successfully sampled signals with amplitudes exceeding the ADC's dynamic range by up to 10 times. The USLSE and LP algorithms demonstrated robust performance, accurately recovering the original signals from the modulo samples even in the presence of noise. The USAlg algorithm, while effective for lower amplitude signals, exhibited limitations when the signal amplitude and noise levels increased.
The research validates the feasibility of modulo sampling as an effective technique for acquiring high dynamic range signals using ADCs with limited dynamic range. The study highlights the importance of selecting appropriate reconstruction algorithms, with USLSE and LP proving more robust than USAlg, particularly for high amplitude and noisy signals.
This research contributes to the field of signal processing by presenting a practical modulo ADC hardware prototype and providing valuable insights into the performance of different reconstruction algorithms for modulo sampling. The findings have implications for various applications requiring high dynamic range signal acquisition, including wireless communications, radar systems, and biomedical imaging.
The current prototype has a limited maximum folding count and operates at a specific sampling frequency. Future research could focus on enhancing the hardware design to accommodate higher folding counts and sampling rates. Further investigation into the impact of hardware imperfections, such as time delays and quantization errors, on reconstruction accuracy is also warranted. Exploring the application of modulo sampling and the proposed reconstruction algorithms in real-world scenarios with complex signals and diverse noise environments would be beneficial.
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by Jiang Zhu, J... о arxiv.org 10-28-2024
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