Title :
Performance characteristics of pulse radar detection using neural networks
Author :
Grishin, Yu.P. ; Zankiewicz, A.
Author_Institution :
Dept. of Electr. Eng., Bialystok Tech. Univ., Poland
Abstract :
The paper is devoted to the problem of sidelobe suppression in a matched filter for wideband signals with using the neural network (NN) approach. Principle performance characteristics of a NN detection procedure such as NN structure and parameters, its impulse response and amplitude characteristics, output signal probability density function and detection probabilities have been investigated. The simulation results are presented
Keywords :
matched filters; neural nets; probability; pulse compression; radar computing; radar detection; radar signal processing; transient response; amplitude characteristics; detection probabilities; impulse response; matched filter; neural networks; output signal PDF; performance characteristics; probability density function; pulse radar detection; sidelobe suppression; wideband signals; Backpropagation algorithms; Delay effects; Matched filters; Multi-layer neural network; Neural networks; Probability density function; Pulse compression methods; Radar detection; Signal to noise ratio; Wideband;
Conference_Titel :
Microwaves and Radar, 1998. MIKON '98., 12th International Conference on
Conference_Location :
Krakow
Print_ISBN :
83-906662-0-0
DOI :
10.1109/MIKON.1998.742842
