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- Title
Sea Clutter Suppression Based on GRNN and Time-window Variance Filtering.
- Authors
BI Jing-zhang; LIU Rong; ZHOU Xi-chen; REN Yuan
- Abstract
According to the chaotic dynamics of sea clutter, generalized regression neural network(GRNN) is used for sea clutter prediction and cancellation, and time-window variance filtering is applied to suppress sea clutter. Based on the analysis of processing results of radar data with target measured by Intelligent Pixel-Processing ( IPIX) radar of McMaster University, the signal to clutter ratio ( SCR) is not more than 0 dB. There are short-time sea clutter peaks after GRNN's prediction and cancellation while the SCR is improved, which can almost all be removed through variance filtering. Finally, the SCR is improved to about 11. 67 dB. It is concluded that the proposed method has good cancellation effect to sea clutter, which can detect small target in sea clutter.
- Subjects
REGRESSION analysis; ARTIFICIAL neural networks; PIXELS; IMAGE processing; ANALYSIS of variance
- Publication
Telecommunication Engineering, 2014, Vol 54, Issue 7, p932
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2014.07.013