Statistical processing techniques for detecting DRFM repeat-jam radar signals

Author

Hill, Peter C J ; Truffert, Vincent

Author_Institution

Sch. of Electr. Eng. & Sci., RMCS, Cranfield, UK

fYear

1992

fDate

33634

Firstpage

42370

Lastpage

42375

Abstract

Electronic countermeasure (ECM) techniques against RF missile systems are enhanced by using radio frequency digital memory (DRFM) to preserve the radar signal for subsequent re-transmission with deceptive modulation in order to confuse the missiles tracking radar. The aim of the study was to investigate whether such radar platforms could use statistical signal processing to differentiate between real and false target returns. It is shown that enhanced linear discriminant analysis (LDA) and also artificial neural network (ANN) processing can discriminate down to three bit DRFM resolution depending on received jammer-to-noise ratio

Keywords

electronic countermeasures; jamming; neural nets; signal detection; signal processing; ECM; EW; RF missile systems; artificial neural network processing; deceptive modulation; electronic countermeasure; false target returns; linear discriminant analysis; missiles tracking radar; radar platforms; radar signal; radio frequency digital memory; real target returns; received jammer-to-noise ratio; repeat jammer detector; signal detection; statistical signal processing;

fLanguage

English

Publisher

iet

Conference_Titel

Signal Processing Techniques for Electronic Warfare, IEE Colloquium on

Conference_Location

London

Type

conf

Filename

167781