Time-Frequency Transforms for Radar Imaging and Signal Analysis

Here's an innovative hands-on book on time-frequency transforms for radar imaging and signal analysis. It teaches you more efficient ways to extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; detect and track moving targets in the synthetic aperture radar; and analyze vibration and rotation induced micro-Doppler. This unique resource introduces a new image formation algorithm based on time-frequency-transforms, showing its advantage over the more conventional Fourier-based image formation. Referenced with over 170 equations and 80 illustrations, the book presents new algorithms that help improve the result of radar imaging and signal processing. Moreover, the authors discuss future trends in time-frequency to analyze micro-Doppler, and provide you with a newly developed time-frequency approach to radar signal and image processing to help you solve problems associated with conventional approaches. Presents joint time-frequency processing methods adapted to radar applications. Chen (U.S. Naval Research Laboratory) and Ling (University of Texas) focus on the extraction of target features from the radar-backscattered signal for the purpose of signature diagnostics and automatic target recognition. Both one-dimensional range profiles and two-dimensional radar imaging are considered. Specific applications are the use of time-frequency transforms for ISAR motion compensation, SAR imaging of moving targets, and analysis of the micro-Doppler phenomenon on targets. Annotation c. Book News, Inc., Portland, OR (booknews.com) Electromagnetic back-scattering from targets. Radar signal and noise. Radar ambiguity function and matched filter. Synthetic aperture radar imaging -- Time-frequency transforms. Linear time-frequency transforms. Bilinear time-frequency transforms -- Detection and extraction of signal in noise. Time-varying frequency filtering. SNR improvement in the time-frequency domain. CFAR detection in the joint time-frequency domain. Signal extraction in the joint time-frequency domain -- Time-frequency analysis of radar range profiles. Electromagnetic phenomenology embedded in back-scattered data Annotation Here's a hands-on book on time-frequency transforms for radar imaging and signal analysis. It teaches you more efficient ways to extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; detect and track moving targets in the synthetic aperture radar; and analyze vibration and rotation induced micro-Doppler This text explores more efficient ways to: extract dispersive scattering features; detect and extract weak signals in noise; form clear radar images; estimate parameters and perform motion compensation; and detect and track moving targets in the synthetic aperture radar Radar is an electromagnetic instrument used for the detection and location of targets, such as aircraft, ships, and ground vehicles.