Processing of Second Order Statistics via Wavelet Transforms
Authors
Hippenstiel, Ralph Dieter
Fargues, Monique P.
Khalil, Nabil H.
Overdyk, Howard F.
Subjects
Wavelets
signal processing
non-stationary correlation function
digital communication signals
identification
demodulation
detection
frequency hopping
spread spectrum
signal processing
non-stationary correlation function
digital communication signals
identification
demodulation
detection
frequency hopping
spread spectrum
Advisors
Date of Issue
1998-02
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Research was conducted to evaluate the feasibility of wavelet transforming second order statistics. To identify the modulation type and to extract signal modulation parameters of frequency hopped signals wavelet functions are applied to the two-dimensional instantaneous correlation function. Parameters of interest are switching times and hop frequencies. The characteristics of the wavelet transform of the correlation function is derived. The wavelet transform is applied along the delay and the time axes. Processing along the delay axis allows the identification of frequency hopped signals and estimation of frequencies and switching times. Processing along the time axis allows detection of the transition times of frequency and time hopped signals.
Type
Technical Report
Description
Series/Report No
Organization
Identifiers
NPS Report Number
NPS-EC-98-005
Sponsors
Space and Naval Warfare Systems Command
Funding
MIPR 97245T
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.