Active estimation of a multipath propagation channel with a bayesian strategy
The active identification of the impulse response of a channel is studied. First, the connesion between the model used for the channel description and rite optimal identification method is exhibited In the case of a multipath channel model, two non lineal. estimation methods tire proposed : a generalized likelihood maximum method capable to estimate the close paths, and a bayesian (a posteriori maximum) method which fakes into account the successive data often available for identification. The performances of the methods are tested art simulations. Same results obtained from two underwater acoustic experiments are finally given.
active identification close multipath bayesian estimation sequential estimation