Abstract: Method of multi-parameter direction finding of several sources in an array of N sensors, comprising at least the following steps: a) choosing a parameter to be determined, or parameter of interest, b) expressing the direction vector in the form of a linear relation between the parameter of interest chosen and the secondary parameters b0(?, ?0)=U0(?) ?0(?0), c) applying a MUSIC-type direction finding step by factorizing the criterion serving for the determination of the angles of incidence so as to determine at least the incidence parameter, d) on the basis of the incidence value, determining the vector representative of the secondary parameters and expressing this vector in the form of a linear relation between a chosen parameter to be determined and the other secondary parameters, e) applying a MUSIC-type direction finding step by factorizing the criterion serving in the determination of the chosen parameter, f) repeating steps d) to e) so as to determine the majority or the whole set of secondary parameters

Abstract: Method of multi-parameter direction finding of several sources in an array of N sensors, comprising at least the following steps: a) choosing a parameter to be determined, or parameter of interest, b) expressing the direction vector in the form of a linear relation between the parameter of interest chosen and the secondary parameters b0(?, ?0)=U0(?) ?0(?0), c) applying a MUSIC-type direction finding step by factorizing the criterion serving for the determination of the angles of incidence so as to determine at least the incidence parameter, d) on the basis of the incidence value, determining the vector representative of the secondary parameters and expressing this vector in the form of a linear relation between a chosen parameter to be determined and the other secondary parameters, e) applying a MUSIC-type direction finding step by factorizing the criterion serving in the determination of the chosen parameter, f) repeating steps d) to e) so as to determine the majority or the whole set of secondary parameters

Abstract: A method for estimating one or more parameters of a propagation channel, with a priori knowledge of at least one signal, in a system having one or more sensors. The method includes correlating one or more signals received by the sensors with the known signal, sampling the received signals at a sampling period and selecting a number of samples per concatenation, and determining at least one parameter of the propagation channel which enables the most efficient reconstruction of the signals via a maximum likelihood method.

Abstract: Method for the estimation of one or more parameters of a propagation channel with a priori knowledge of the signal in a system comprising one or more sensors, wherein the method comprises the following steps: