The linear minimum variance estimator of a random signal, received multiplied by a complex Gaussian phase error and added to random noise, is investigated. The results apply to the propagation of images through the turbulent atmosphere, fading channels, and synthetic-aperture radar. Among others, a result is that the multiplicative error can be replaced by an additive error, usually white. The best signal modulation is found in two important special cases.
Linear Minimum Variance Estimation with Complex Phase Errors
IEEE Transactions on Aerospace and Electronic Systems ; AES-3 , 4 ; 681-687
1967-07-01
1523374 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Minimum-Variance Estimation of Re-entry Debris Trajectories
British Library Conference Proceedings | 1999
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