Xuesong Wang

Dr. Xuesong Wang

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 May 2014 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
XWXuesong Wang
Xuesong Wang
HPHongchang Pang
Hongchang Pang
WCWendan Chen
Wendan Chen
YLYuan Lin
Yuan Lin
LZLishuai Zong
Lishuai Zong
GNGuiling Ning
Guiling Ning

1 August 2021 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
HZHu Zhu
Hu Zhu
LLLu Li
Lu Li
WCWendan Chen
Wendan Chen
YTYuejin Tong
Yuejin Tong
XWXuesong Wang
Xuesong Wang

1 December 2013 in Polymer Degradation and Stability
Verified
Journal Article
Closed access
XWXuesong Wang
Xuesong Wang
HPHongchang Pang
Hongchang Pang
WCWendan Chen
Wendan Chen
YLYuan Lin
Yuan Lin
GNGuiling Ning
Guiling Ning

1 October 2015 in Polymer Degradation and Stability
Verified
Journal Article
Closed access
HPHongchang Pang
Hongchang Pang
XWXuesong Wang
Xuesong Wang
XZXingkun Zhu
Xingkun Zhu
PTPeng Tian
Peng Tian
GNGuiling Ning
Guiling Ning

26 June 2015 in IEEE Geoscience and Remote Sensing Letters
Verified
Journal Article
Closed access
CPChen Pang
Chen Pang
PHPeter Hoogeboom
Peter Hoogeboom
FCFrancois Le Chevalier
Francois Le Chevalier
HRHerman W. J. Russchenberg
Herman W. J. Russchenberg
JDJian Dong
Jian Dong
XWXuesong Wang
Xuesong Wang
Due to the contradiction between the high sensitivity requirement and low transmission power of weather radars with solid-state transmitters, a pulse compression technique is necessary. For the purpose of range sidelobe suppression, methods based on amplitude modulation and a mismatched filter are commonly used for target detection radars, which are not applicable for weather observations because of its drawbacks such as main lobe expansion and power loss. This letter presents a nonlinear frequency modulation pulse compression waveform to achieve a very low range sidelobe level. A mathematical model for waveform design is established, in which the time-frequency relation is expressed as the combination of a linear function and a sine series. Thus, a set of parameters can fully characterize the time-frequency curve. By using a simulated annealing algorithm, the optimal parameter set can be obtained, which shows that a peak sidelobe level under -60 dB is achievable. Finally, this kind of waveform is implemented on hardware, and its performance is verified.

1 January 2021 in Polymer Degradation and Stability
Verified
Journal Article
Closed access
XWXuesong Wang
Xuesong Wang
LLLu Li
Lu Li
YTYuejin Tong
Yuejin Tong
YDYong Dai
Yong Dai
WCWendan Chen
Wendan Chen