Chaotic dynamics of sea clutter
Chaotic dynamics of sea clutter boasts important applications in a number of fields, including weather radar systems, which are intensely studied at major universities. This book presents a detailed account of chaotic dynamics of sea clutter, using real-life sea clutter data rather than simulated data, and drawing on eight years of research by one of the most highly regarded researchers in this area.
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Radar and Database
Chaotic Dynamics of a Physical Time Series
Preprocessing of the Radar Data
8 other sections not shown
Abarbanel amplitude component backscatter behavior box-counting dimension chaos chaotic dynamics chaotic invariants chaotic process clutter data set computed Corrected Three-Point Smoothed correlation dimension D2 values Data for Different defined degrees of freedom delay coordinate deterministic Different Ranges differentiable dimensional dynamical system dynamics of sea embedding delay embedding dimension equations experimental time series Figure FIR filtered frequency function F GFNN Grassberger and Procaccia Haykin height in meters I-Q calibration I-Q Corrected Three-Point In-Phase Component initial conditions IPIX IPIX radar Kaplan-Yorke dimension Kolmogorov entropy largest Lyapunov exponent linear Lorenz attractor Lyapunov dimension Lyapunov exponents Lyapunov spectrum maximum-likelihood method noise nonlinear null hypothesis observed parameters perturbation phase space points polarization positive Lyapunov exponents predictability preprocessing Quadrature-Phase Component radar reconstruction recurrence plot resolution cell sea clutter data sea surface sensitive dependence shown in Fig signal simulated sea clutter Smoothed FIR Filtered statistic strange attractor topological embedding trajectories vector zero