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
0.6 F Figure according to eqn adaptive filter airborne algorithm angle assumed auxiliary channels azimuth beamformer blocking matrix broadband Chapter clutter bandwidth clutter cancellation clutter Doppler frequency clutter echoes clutter eigenvalues clutter filter clutter notch clutter spectrum clutter suppression clutter-covariance matrix coefficients configuration curves decorrelation degrees of freedom denote directivity pattern domain Doppler filter bank DPCA eigenvalues eigenvectors elements errors estimator filter bank filter length FIR filter processor forward-looking array given by eqn improvement factor interference inverse ISAR jammer jamming Klemm linear array look direction matched filter matrix inverse motion compensation normalised number of channels number of eigenvalues Nyquist Nyquist frequency operation optimum processor orthogonal-projection output overlapping subarrays phase pulse samples sensor side-looking array sidelobe sidelobe canceller signal vector space-time adaptive processing space-time covariance matrix space-time filter space-time FIR filter space-time processing spectral steering vector subarrays subspace system bandwidth tapering techniques temporal filter transmit vector space