Title :
Chaotic detection of small target in sea clutter
Author :
Li, Bob X. ; Haykin, Simon
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Abstract :
A new method based on chaos and neural network theory for small target detection in sea clutter is presented. The authors present the signal model. They then describe a neural network trained with the least-mean-square (LMS) algorithm for the dynamic reconstruction of sea clutter. A chaotic detection algorithm based on the neural network model is described. Some experimental results show that the new detection method operating with noncoherent radar data has a performance comparable with that of a standard Doppler CFAR processor.<>
Keywords :
chaos; least squares approximations; marine systems; neural nets; radar clutter; signal detection; LMS algorithm; chaotic detection algorithm; neural network model; noncoherent radar data; performance; sea clutter; signal model; small target detection;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319099
