Yuankun Peng is a researcher based at the Hangzhou Institute of Applied Acoustics in Hangzhou, China. He obtained his B.S. degree in electronic information engineering from Qingdao Agricultural University in 2013, followed by an M.S. degree in signal processing from Northwestern Polytechnical University in Xi’an, China, in 2016. His research interests lie in the areas of signal processing and waveform design.
Author Metrics:
Scopus Profile
Yuankun Peng, affiliated with the Hangzhou Institute of Applied Acoustics in Hangzhou, China, has a modest citation record, with 15 citations across 8 documents. His h-index, a measure of both productivity and citation impact, stands at 2, indicating that he has published at least 2 papers that have each received at least 2 citations.
- Citations: 15
- Documents: 8
- h-index: 2
Education:
Yuankun Peng received his B.S. degree in electronic information engineering from Qingdao Agricultural University in 2013 and his M.S. degree in signal processing from Northwestern Polytechnical University in Xi’an, China, in 2016.
Research Focus:
Yuankun Peng’s research interests primarily revolve around signal processing and waveform design. His work encompasses practical applications in areas such as radar and sonar systems, focusing on techniques like diversity processing of HFM signals and streamlining methods based on big data.
Professional Journey:
After completing his education, Yuankun Peng joined the Hangzhou Institute of Applied Acoustics as a researcher. Here, he has been actively involved in conducting research and publishing his findings in academic journals and conference proceedings.
Publications Noted & Contributions:
Some of Yuankun Peng’s notable publications include conference papers and articles on topics such as diversity processing of HFM signals, streamlining methods based on big data, Doppler echo construction methods, and various signal processing techniques. These publications have contributed to advancing knowledge in the field of signal processing and its applications in radar and sonar systems.
“Diversity Processing of HFM Signals”
Authors: Du, Q., Ling, X., Jing, T., Peng, Y.
Published in: ACM International Conference Proceeding Series, 2022, pp. 1295–1299
This paper explores diversity processing techniques for High Frequency Modulation (HFM) signals.
“Study of A Streamlining Method Based on Big Data”
Authors: Pan, Y., Peng, Y., Liu, P., He, X.
Presented at: CAIBDA 2022 – 2nd International Conference on Artificial Intelligence, Big Data and Algorithms, 2022, pp. 469–472
The research investigates a streamlining method based on big data analysis.
“Effect of target motion on PTFM waveform and subsequent signal processing”
Authors: Du, Q., Pan, Y., Peng, Y., Sun, Y.
Presented at: Proceedings of SPIE – The International Society for Optical Engineering, 2022, 12473, 1247313
This paper examines the effect of target motion on Phase-Transformed Frequency Modulation (PTFM) waveform and its subsequent signal processing.
“Doppler echo construction method of wide-band moving target in sonar”
Authors: Liang, Z., Pan, Y., Peng, Y.
Presented at: Proceedings – 2022 International Symposium on Control Engineering and Robotics, ISCER 2022, 2022, pp. 202–207
The research presents a Doppler echo construction method for wide-band moving targets in sonar systems.
“Study of HFM Pulse Train Signal Based on Barker Code Phase Coding”
Authors: Pan, Y., Yin, X., Peng, Y.
Published in: Lecture Notes in Electrical Engineering, 2022, 920 LNEE, pp. 631–640
This study investigates High Frequency Modulation (HFM) pulse train signals based on Barker code phase coding.
Research Timeline:
Yuankun Peng’s research timeline spans from at least 2020 to 2022, during which he has published several papers and articles in academic journals and conference proceedings.
