High timing resolution pulse waveform synthesis based on feature-fitting

With the widespread demand for high-precision controllable pulse signals in electronic systems such as communications, radar, and quantum computing, the timing resolution and waveform flexibility adjustment capability of excitation signal sources are more demanding. However, direct digital synthesis (DDS) techniques are limited by timing resolution, while computational synthesis methods are computationally complex and resource-consuming despite higher accuracy. In this paper, an improved DDS pulse waveform synthesis method is proposed, which effectively reduces the storage requirement by storing only the pulse waveform edge samples as feature samples instead of all the samples in the complete waveform period. Meanwhile, combining with the adaptive phase adjustment algorithm, the phase offset value is calculated based on the overflow result of the phase accumulator, and the edge position is adjusted to realize the waveform fitting with higher timing resolution. The feature-fitting scheme streamlines the data storage content while avoiding the complexity of real-time computation, achieving a balance between computational resources and memory usage. The method uses 1 GSPS sampling rate and 1 BRAM to successfully synthesize pulse waveforms with timing resolutions of 100 ps and 10 ps, realizes edge time and amplitude adjustments, and achieves an rms jitter of 10.04 ps. The method provides a feasible solution for high-precision pulse signal synthesis with low storage occupation and provides theoretical and practical support for the realization of high-performance electronic test equipment.

Authors

Institutions

Publication Details

Journal
Metrology and Measurement Systems
Published
2025-08-18
DOI
https://doi.org/10.24425/mms.2025.154336
Citations
1
Primary Topic
Advancements in PLL and VCO Technologies
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High timing resolution pulse waveform synthesis based on feature-fitting

Dexuan Kong, Hanglin Liu, Yujie Deng, Xin Ai et al.
1 citations
Metrology and Measurement Systems
Advancements in PLL and VCO Technologies
0.73
article

High timing resolution pulse waveform synthesis based on feature-fitting

Dexuan Kong, Hanglin Liu, Yujie Deng, Xin Ai, Zaiming Fu
article en
1 citations

Abstract

With the widespread demand for high-precision controllable pulse signals in electronic systems such as communications, radar, and quantum computing, the timing resolution and waveform flexibility adjustment capability of excitation signal sources are more demanding. However, direct digital synthesis (DDS) techniques are limited by timing resolution, while computational synthesis methods are computationally complex and resource-consuming despite higher accuracy. In this paper, an improved DDS pulse waveform synthesis method is proposed, which effectively reduces the storage requirement by storing only the pulse waveform edge samples as feature samples instead of all the samples in the complete waveform period. Meanwhile, combining with the adaptive phase adjustment algorithm, the phase offset value is calculated based on the overflow result of the phase accumulator, and the edge position is adjusted to realize the waveform fitting with higher timing resolution. The feature-fitting scheme streamlines the data storage content while avoiding the complexity of real-time computation, achieving a balance between computational resources and memory usage. The method uses 1 GSPS sampling rate and 1 BRAM to successfully synthesize pulse waveforms with timing resolutions of 100 ps and 10 ps, realizes edge time and amplitude adjustments, and achieves an rms jitter of 10.04 ps. The method provides a feasible solution for high-precision pulse signal synthesis with low storage occupation and provides theoretical and practical support for the realization of high-performance electronic test equipment.

Metrology and Measurement Systems
University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 25%
Advancements in PLL and VCO Technologies
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.