Space-time Adaptive Processing: Principles and Applications
This is a systematic introduction to airborne MTI radar design in use in the fields of earth observation, surveillance and reconnaissance, with particular regard to the suppression of clutter returns. It explores signal processing techniques, jamming and system applications, including sonar.
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Signal and interference models
Properties of airborne clutter
12 other sections not shown
according to eqn adaptive angle antenna applications array arrivals associated assumed auxiliary channels azimuth bandwidth beam beamformer becomes block calculated cancellation causes channels Chapter clutter Doppler clutter filter clutter notch clutter rejection column compared computational configuration consider covariance matrix curves denote dependence described detection dimension direction discussed domain Doppler filter Doppler frequency DPCA echo effect eigenvalues elements errors estimator example Figure forward-looking function given IF[dB improvement factor includes increase interference inverse jammer leads length linear array look direction losses matched means motion moving noise normalised Notice obtained operation optimum processor output owing pattern performance phase platform plot position possible presented problem processing pulse radar range received reduced response samples seen sensor shown shows side-looking array sidelobe signal space space-time space-time processing spatial spectral spectrum subarrays suppression symmetric tapering target techniques temporal transform transmit vector weighting