Space-time Adaptive Processing: Principles and ApplicationsThis 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. |
Contents
Introduction | 1 |
Signal and interference models | 46 |
Properties of airborne clutter | 64 |
Copyright | |
12 other sections not shown
Common terms and phrases
according to eqn adaptive filter airborne algorithm angle 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 estimator filter bank filter length forward-looking array given by eqn IF[dB improvement factor interference inverse ISAR jammer jamming KLEMM linear array look direction matched matched filter matrix inverse motion compensation noise normalised number of channels number of eigenvalues Nyquist Nyquist frequency operation optimum processor output overlapping subarrays pulse radar samples sensor side-looking array sidelobe sidelobe canceller signal vector space-time adaptive processing space-time covariance matrix space-time FIR filter space-time processing spatial filtering spectral steering vector subarrays subspace system bandwidth tapering techniques temporal filter vector space τ τ