Title :
Pulse radar detection using a multi-layer neural network
Author :
Kwan, Hon Keung ; Lee, Chi Kin
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
The application of a multilayer feedforward neural network to pulse radar detection or pulse compression is presented. For illustration, the Barker code was used. This network has 13 input units, 3 hidden units, and 1 output unit. Backpropagation learning was used to train the network. A 40-dB peak signal-to-noise ratio can be achieved easily. The processing time is expected to be much faster than that obtained using correlation and mismatched filtering approaches.<>
Keywords :
computerised signal processing; learning systems; neural nets; radar; 40 dB; Barker code; backpropagation learning; multilayer feedforward neural network; network training; noise performance; peak SNR; pulse compression; pulse radar detection; Learning systems; Neural networks; Radar;
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
DOI :
10.1109/IJCNN.1989.118681
