Code optimization for the Choi-Williams distribution for ELINT applications
Hollinger, Kenneth B.
Fouts, Douglas J.
Pace, Phillip E.
MetadataShow full item record
This thesis investigates optimizing the speed of computation for computing the Choi-Williams distribution. The Choi-Williams distribution is a way of simultaneously representing a signal in both the time and frequency domains in a fashion that makes it possible to extract the waveform parameters of the signal. The Choi-Williams distribution is particularly useful for analyzing low probability of intercept signals for electronic intelligence applications. The usefulness of the distribution is directly correlated to the speed of computation. This thesis examines methods in which the Choi-Williams distribution can be modified to increase the speed of computation while still maintaining its ability to provide a clear picture of the signal characteristics. By eliminating the computation of near zero terms of the Choi-Williams kernel function, the speed of computation can be increased dramatically while still preserving, and improving, the time-frequency characteristics. The optimizations developed in this thesis reduced the time to compute a 512 sample CWD from 6.9 seconds, to 0.0466 seconds on an Intel chip, Linux based PC-an increase in speed of 147X.
Showing items related by title, author, creator and subject.
ELINT signal processing using Choi-Williams distribution on reconfigurable computers for detection and classification of LPI emitters Upperman, Teresa Lynn Odom (Monterey California. Naval Postgraduate School, 2008-03);This thesis documents the use of the SRC-6 Reconfigurable Computer for use in analyzing low probability of intercept (LPI) signals using the Choi-Williams distribution. The SRC-6 is a reconfigurable computer manufactured ...
Gulum, Taylan O. (Monterey California. Naval Postgraduate School, 2007-09);In this thesis, an autonomous feature extraction algorithm for classification of Low Probability of Intercept (LPI) radar modulations is investigated. A software engineering architecture that allows a full investigation ...
Autonomous time-frequency cropping and feature-extraction algorithms for classification of LPI radar modulations Zilberman, Eric R. (Monterey, California. Naval Postgraduate School, 2006-06);Three autonomous cropping and feature extraction algorithms are examined that can be used for classification of low probability of intercept radar modulations using time-frequency (T-F) images. The first approach, Erosion ...