Wavelet-based detection of frequency hopping signals

Author

Fargues, Monique P. ; Overdyk, Howard F. ; Hippenstiel, Ralph

Author_Institution

Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA

Volume

1

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

515

Abstract

We investigate the application of wavelet transforms in the detection and estimation of spread spectrum frequency hopping signals. The technique developed makes only two basic assumptions of a minimum hopping time and a minimum frequency hopping differential. The approach is based on the phase information of the temporal correlation function and the resulting discrete wavelet transform of the phase information is used to estimate the hopping time of frequency hopping signals. Results show the proposed scheme is robust to additive white Gaussian noise degradations for SNR levels of 3 dB and above.

Keywords

Gaussian noise; correlation methods; frequency hop communication; parameter estimation; signal detection; spread spectrum communication; wavelet transforms; white noise; FH-SS; SNR; additive white Gaussian noise; discrete wavelet transform; minimum frequency hopping differential; minimum hopping time; phase information; preprocessing techniques; signal estimation; spread spectrum frequency hopping signals; temporal correlation function; wavelet transforms; wavelet-based detection; Additive white noise; Application software; Discrete wavelet transforms; Frequency estimation; Noise robustness; Phase estimation; Signal analysis; Spread spectrum communication; Timing; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.680431

Filename

680431