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

Volume

3

fYear

1998

fDate

20-22 May 1998

Firstpage

861

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwaves and Radar, 1998. MIKON '98., 12th International Conference on

Conference_Location

Krakow

Print_ISBN

83-906662-0-0

Type

conf

DOI

10.1109/MIKON.1998.742842

Filename

742842