Time-Interleaved Switched Emitter Followers to Extend Front-End Sampling Rates to up to 200 GS/s

Thomas, Philipp; Finkbeiner, Jakob; Berroth, Manfred

doi:10.1109/jssc.2022.3192546

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…They also utilize spatial and temporal coding and decoding techniques to enhance system reliability and interference resistance [2][3][4][5]. Additionally, such multi-channel systems can alternate the sampling of the same signal to achieve a higher sampling rate [6] and the time-interleaved sampling model is the mainstream implementation architecture for high-sampling-rate converters and systems in the current context [7][8][9]. Furthermore, multi-channel systems are widely applied in monitoring scenarios for biomedical signals such as electrocardiography (ECG) [10] and electroencephalography (EEG) [11].…”

Section: Introductionmentioning

confidence: 99%

Pulse Compression Shape-Based ADC/DAC Chain Synchronization Measurement Algorithm with Sub-Sampling Resolution

Hao,

Fang,

Luo

et al. 2024

Sensors

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In this article, we address the problem of synchronizing multiple analog-to-digital converter (ADC) and digital-to-analog converter (DAC) chains in a multi-channel system, which is constrained by the sampling frequency and inconsistencies among the components during system integration. To evaluate and compensate for the synchronization differences, we propose a pulse compression shape-based algorithm to measure the entire delay parameter of the ADC/DAC chain, which achieves sub-sampling resolution by mapping the shape of the discrete pulse compression peak to the signal propagation delay. Moreover, owing to the matched filtering in the pulse compression process, the algorithm exhibits good noise performance and is suitable for wireless scenarios. Experiments verified that the algorithm can achieve precise measurements with sub-sampling resolution in scenarios where the signal-to-noise ratio (SNR) is greater than −10 dB.

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