Title :
Linear Minimum Variance Estimation with Complex Phase Errors
Author :
Harger, Robert O.
Author_Institution :
Institute of Science and Technology, University of Michigan, Ann Arbor, Mich.
fDate :
7/1/1967 12:00:00 AM
Abstract :
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.
Keywords :
Additive noise; Apertures; Atmosphere; Fading; Filters; Gaussian processes; Integral equations; Mean square error methods; Phase estimation; Signal processing; Fading channel; optical propagation; phase errors; signal design; signal processing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1967.5408844
