Feature extraction of intra-pulse modulated radar signals using time-frequency analysis
Fargues, Monique P.
Hippenstiel, Ralph D.
MetadataShow full item record
This thesis applies time-frequency transformations to radar signals. Specifically, it considers the feasibility of applying time-frequency transformations to extract the intra-pulse modulation parameters of radar signals. In this work, we consider radar signals with analog pulse compression; specifically linear or hyperbolic intra-pulse modulation. Several time-frequency transformations are investigated to identify which one gives the most accurate image representation for signals in noisy environments. Next, image processing techniques are applied in conjunction with an adaptive curve fitting method, for the hyperbolic modulation scheme, to extract the parameters of the frequency equation. Results show that for the linear chip case the frequency equation can be estimated with small error down to SNR equal to -10dB. The proposed method for the hyperbolic chirp modulation is less immune to noise degradation and it can be used down to SNR level equal to 2dB.
Showing items related by title, author, creator and subject.
Hippenstiel, Ralph Dieter; Fargues, Monique P.; Khalil, Nabil H.; Overdyk, Howard F. (Monterey, California. Naval Postgraduate School, 1998-02); NPS-EC-98-005Research 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 ...
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 ...
Identification and Classification of Orthogonal Frequency Division Multiple Access (OFDMA) Signals used in next generation wireless systems Gray, Ryan M. (Monterey, California. Naval Postgraduate School, 2012-03);This thesis explores identification and classification of Orthogonal Frequency Division Multiple Access based signals and proposes a scheme to achieve this goal. Specifically, the cyclostationary pilot signature of an IEEE ...