A detection algorithm of LPI radar signals

Author

Konopko, Krzysztof

Author_Institution

Electr. Eng. Fac., Bialystok Tech. Univ., Bialystok, Poland

fYear

2007

fDate

7-7 Sept. 2007

Firstpage

103

Lastpage

108

Abstract

Low Probability Intercept (LPI) signals are a class of radar signals that possess certain features (low power, wide bandwidth, frequency variability, ...) that make them difficult detectable by today´s intercept receivers. The paper describes implementation of a LPI radar signal detection algorithm based on two-dimensional signal representation, noise reduction, features vector extraction and a Radial Basis Function (RBF) neural network probability density function estimator which is used for the final LPI signal detection. The numerical simulation results for detection of the chirp signal are presented.

Keywords

feature extraction; numerical analysis; probability; radar computing; radar detection; radar receivers; radar signal processing; radial basis function networks; signal denoising; signal representation; LPI radar signal detection algorithm; RBF neural network; chirp signal; feature vector extraction; intercept receivers; low probability intercept signals; noise reduction; numerical simulation; probability density function estimator; radial basis function neural network; two-dimensional signal representation; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Algorithms, Architectures, Arrangements and Applications, 2007

Conference_Location

Poznan

Print_ISBN

978-1-4244-1514-4

Electronic_ISBN

978-1-4244-1515-1

Type

conf

DOI

10.1109/SPA.2007.5903308

Filename

5903308