Optimised Radar Processors
IET, 1987 - Technology & Engineering - 198 pages
A collection of 19 papers. Part 1 - Adaptive cancellation of clutter. Part 2 - Detection theory for non-Gaussian distributed targets and clutter signals. Part 3 - Detection for multistatic radar systems. Part 4 - Techniques for surveillance radars.
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Application of GramSchmidt algorithm to optimum radar
Adaptive methods to implement the optimum radar
Part 2Detection theory for nonGaussian distributed targets and clutter signals
Survey on multistatic radar detection
adaptive algorithm amplitude antenna applied assumed autocorrelation function CFAR channels clutter cancellation clutter sources coefﬁcient coefficients coherent Weibull Conf considered corresponding covariance matrix detection loss detection performance detection schemes detector disturbance Doppler frequency envelope detector estimate evaluated Farina ﬁlter ﬁrst ﬂuctuating Gaussian distributed Gaussian noise Gram-Schmidt hypothesis IEEE IEEE Trans implementation input linear log-likelihood ratio log-normal clutter matched matched filter multistatic radar nonlinear obtained operational optimum detection optimum filter optimum processor optimum receiver output paper parameters phase probability density problem Proc pulse train radar detection radar echoes radar signal radar systems range cells ratio Rayleigh refers ROC curves Section Selenia sensors sequence sidelobes signal processing simulation spatial spectrum Studer Swerling target echo target signal techniques theory thermal noise threshold tion transmitted values Weibull clutter Weibull random variable weights white Gaussian noise