Analysis of digital communication signals and extraction of parameters
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Authors
Al-Jowder, Anwar
Subjects
NA
Advisors
Hippenstiel, Ralph
Wadsworth, Donald V.Z.
Date of Issue
1994-12
Date
December, 1994
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
The signal classification performance of four types of Electronics Support Measure (ESM) Communications detection systems is compared from the standpoint of the unintended receiver (interceptor). Typical digital communication signals considered include Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), Frequency Shift Keying (FSK), and On-Off Keying (00K). The analysis emphasizes the use of available signal processing software. Detection methods compared include broadband energy detection, FFT- based narrowband energy detection, and two correlation methods which employ the Fast Fourier Transform (FFT). The correlation methods utilize modified time- frequency distributions, where one of these is based on the Wigner-Ville Distribution (WVD). Gaussian white noise is added to the signal to simulate various signal-to-noise ratios (SNRs)
Type
Thesis
Description
Series/Report No
Department
Electrical Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funder
NA
Format
106 p.;28 cm.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.