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REVIEW OF UNDERLYING MATHEMATICAL TECHNIQUES
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a-priori accuracy adaptive filtering Aerospace and Electronic application approach assumed azimuth Bayesian bistatic radar Cartesian co-ordinates coefficients components Conf considered correlation gate corresponding covariance matrix data rate derived described detection distributed dynamic system Ek/k Electronic Systems environment equations Equn estimation error estimation theory evaluated extended Kalman filter false plots Farina filtering theory function Gaussian IEEE IEEE Trans innovation input Kalman gain likelihood function linear manoeuvring targets mean value measurement errors measurement noise monostatic monostatic radar multitarget nonlinear nonlinear filtering observation obtained parameters performance phased-array radar plot-track polar position and velocity predicted position problem processor pulse radar data processing radar measurements radar scan radar systems radial velocity range recursive Sect Section sensor shown in Fig signal standard deviation statistics steady-state sub-optimal target acceleration target manoeuvre target model target path target position techniques track initiation tracker tracking algorithm tracking filter updated variables variance zero zero-mean