Adaptive Radar Signal Processing
John Wiley & Sons, Mar 9, 2007 - Technology & Engineering - 224 pages
This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound implications for defense-related signal processing and remote sensing. References are provided in each chapter guiding the reader to the original research on which this book is based.
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algorithm amplitude analysis backscatter bandwidth Bayesian direct filter Bayesian receiver behavior Bragg scattering centroid chaotic chapter coherent complex computed correlation dimension corresponding D. J. Thomson dataset H deterministic chaos direct and specular Doppler centroid Doppler spectrum dynamic noise dynamics of sea eigenvalues equation experimental F-test Fourier transform fraction of sampling frequency modulation function Gaussian grazing angle IEEE Trans IPIX IPIX radar K-distribution line components linear Loève Lyapunov exponents measurement modulation multi-taper multi-taper method multipath nonlinear dynamics nonstationary observed ocean OHGR parameter peak periodogram prewhitening Proc radar radar data radar returns range cell Rayleigh Rayleigh fading reference resolution cell sampling frequency sea clutter sea surface sea-clutter Section Signal Processing Simon Haykin Slepian snapshot spectral spectrogram spectrum estimation specular components statistical stochastic target signal texture time-Doppler vector VV polarization wavenumber wavenumber spectrum waves window