Title :
Intermittent intensity clutter removal of Wind profiling radar based on TFR
Author :
Li, Jiaqiang ; Zhang, Yinsheng ; Zhou, Jie
Author_Institution :
Coll. of Electron. & Inf. Eng., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
Intermittent intensity clutter may severely contaminate the signal detection and identification for wind spectral of Wind profiling radar. In order to remove such clutter, a method based on Zak time-frequency representation (TFR) is proposed. Not only the intermittent intensity clutter can be separated from the atmospheric signal in the time-frequency domain, also the atmospheric signal can be obtained in the time domain by reconstruction after the clutter removal. The theory and simulation also show that the method is valid.
Keywords :
meteorological radar; radar clutter; signal detection; signal reconstruction; signal representation; time-frequency analysis; TFR; Zak time-frequency representation; atmospheric signal; intermittent intensity clutter removal; signal detection; signal reconstruction; time-frequency domain; wind profiling radar; Atmospheric modeling; Clutter; Radar; Signal resolution; Time domain analysis; Time frequency analysis;
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
DOI :
10.1109/ICIST.2011.5765291
