Cutoff rate of coded FH/MFSK with neural network jamming state information generator

Author

Kwon, Hyuck M.

Author_Institution

Dept. of Electr. Eng., Wichita State Univ., KS, USA

fYear

1994

fDate

2-5 Oct 1994

Firstpage

708

Abstract

A neural network approach to jamming state information (JSI) generation is presented. A coded frequency-hopped M-ary frequency-shift-keying system under partial-band noise jamming, plus additive white Gaussian noise is considered. Two cases of the neural network JSI generators are simulated: (1) with and (2) without knowledge of partial-band jamming fraction. Cutoff rate performance criteria are employed. The neural network JSI generators can offer significantly better performance than a JSI generator with a maximum a posteriori rule based on the total energy received in the M-tone signaling bands

Keywords

Gaussian noise; frequency hop communication; frequency shift keying; jamming; maximum likelihood estimation; modulation coding; multilayer perceptrons; signal detection; telecommunication signalling; white noise; JSI generators; M-tone signaling bands; additive white Gaussian noise; coded FH/MFSK; coded frequency-hopped M-ary frequency-shift-keying system; cutoff rate; maximum a posteriori rule; neural network approach; neural network jamming state information generator; partial-band noise jamming; performance criteria; total energy received; Character generation; Decoding; Frequency; Gaussian noise; Jamming; Multi-layer neural network; Neural networks; Noise robustness; Signal generators; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1994. MILCOM '94. Conference Record, 1994 IEEE

Conference_Location

Fort Monmouth, NJ

Print_ISBN

0-7803-1828-5

Type

conf

DOI

10.1109/MILCOM.1994.473879

Filename

473879