Abstract
A large-sample decoupled maximum likelihood angle estimator for signals with known waveforms is presented based on exploiting the a priori knowledge that the observation noise can be modelled as spatially white. It is shown that the incorporation of this knowledge significantly improves the angle estimation accuracy over existing angle estimators for signals with known waveforms.
Original language | English |
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Pages (from-to) | 1992-1994 |
Number of pages | 3 |
Journal | Electronics Letters |
Volume | 35 |
Issue number | 23 |
DOIs | |
State | Published - 11 Nov 1999 |