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THE STATISTICAL PROPERTIES OF THE UNSMOOTHED
THE PROPERTIES OF THE SMOOTHED ALTITUDE SIGNAL
6 other sections not shown
according to Eq alti altitude noise altitude signal amplitude measuring altimeter angle approximated assumed average value bandwidth Behrbohm centre frequency chapt chapter 4.4 correlation function Cramer-Rao inequality defined by Eq deviation different reflectors doppler shift doppler spectrum envelopes estimation external noise signals fluctuations Fourier transform frequency excursion Gaussian processes given hard filtering hard smoothing Hence IEEE Trans indicated altitude influence Inserting Eq integration Langefors linear lower bound lowpass filter mean value mixer output Monopulse Radar noise components outfiltered signals parameters phase detector phase measuring altimeter probability density function profiling error radar altimeters Range dependence range spread Rayleigh distributed received signal reflecting point result samples sensitivity lobe shown signal processing sinusoidal FMCW smoothing effect smoothing is carried spatial spectrum spectra statistically independent stochastic Subsonic Leading Edges surface roughness transmitted signal type of altimeter uncorrelated unsmoothed altitude signal valid variance velocity vector white noise Wing with Subsonic yields