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Compensation for the Decoherence Effect in Heterodyne Detection of Rough Targets and a Target Vibration Characteristic Measurement System.
Cao, Changqing; Su, Xiyuan; Liu, Yutao; Zeng, Xiaodong; Feng, Zhejun; Shen, Jingshi; Wang, Ting; Yan, Xu.
Afiliação
  • Cao C; School of Physics and Optoelectronic Engineering, Xidian University, 2 South Taibai Road, Xian, 710071, China.
  • Su X; School of Physics and Optoelectronic Engineering, Xidian University, 2 South Taibai Road, Xian, 710071, China. erinsxy@163.com.
  • Liu Y; School of Physics and Optoelectronic Engineering, Xidian University, 2 South Taibai Road, Xian, 710071, China.
  • Zeng X; School of Physics and Optoelectronic Engineering, Xidian University, 2 South Taibai Road, Xian, 710071, China.
  • Feng Z; School of Physics and Optoelectronic Engineering, Xidian University, 2 South Taibai Road, Xian, 710071, China.
  • Shen J; Shandong Institute of Space Electronic Technology, Yantai, 264670, China.
  • Wang T; School of Physics and Optoelectronic Engineering, Xidian University, 2 South Taibai Road, Xian, 710071, China.
  • Yan X; School of Physics and Optoelectronic Engineering, Xidian University, 2 South Taibai Road, Xian, 710071, China.
Sci Rep ; 10(1): 6077, 2020 Apr 08.
Article em En | MEDLINE | ID: mdl-32269327
ABSTRACT
In practical applications of signal detection, the roughness of a target surface significantly affects detection efficiency. In this paper, we propose a signal processing method that improves the sensitivity of a detection system by up to 100 times. In experiments, the target vibration measurement system successfully captured an automotive vibration power spectrum using the proposed signal processing method. This technology opens a new avenue for development in the field of rough surface target detection and recognition.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article