Abstract: A method includes: determining a set of all possible configurations of occupation or non-occupation of a set of transmission bands, defined as a set of possible vectors; building a matrix from a stacking of all the possible vectors; obtaining measurements of occupation of at least a part of the set of channels, at respective time instants; and computing probabilities using a channel transition function so as to determine, for each transmission band, an estimated activation rate, on the basis of the measurements. The estimated activation rate corresponds to an occupation rate of a transmission band by an interferer within the given observation time window, and the probabilities computations include an iterative resolution of a non-linear optimization problem with a constraint derived from the Gibbs' inequality.

Abstract: The disclosure relates to characterizing radiofrequency interference caused by a plurality of sources. At least one observing device is used for scanning successively a plurality of radiofrequency bands for performing interference measurements in the plurality of radiofrequency bands, in different space locations, and at different time instants, and provides observations at successive time instants of a current position of the observing device, and a received interference power in an observed frequency band. For each interference source and each observation, a likelihood probability to attribute one observation to one interference source is computed. This likelihood probability computations are used for assigning each of said observations to one interference source. More particularly, the likelihood probability computing is based on both frequency observation and interference power observation.

Abstract: A method comprising: Obtaining observations Z_n, and building an observation vector Z=[Z_1, . . . , Z_n, . . . , Z_N ], Defining a latent variable V_n, to build a vector of latent variables V=[V_1, . . . , V_n, . . . , V_N ], and Implementing a Dirichlet process involving a Gibbs sampling with a Markov chain, the sampling being repeated as follows until convergence: For n?1, . . . , N, if the observation Z_n is associated to a source, remove observation Z_n from a source corresponding to latent variable V_n, and retrieve a position posterior of this source as the observation Z_n is belonging to this source; Draw a new value of latent variable V_n, based on a conditional probability ; Associate the observation Z_n to the source, and update the posterior distribution of the position for the source, and, upon convergence of the algorithm, operating a separation of the interfering sources into K independent measurement sets, and an estimation of each source position.

Abstract: A method includes: determining a set of all possible configurations of occupation or non-occupation of a set of transmission bands, defined as a set of possible vectors; building a matrix from a stacking of all the possible vectors; obtaining measurements of occupation of at least a part of the set of channels, at respective time instants; and computing probabilities using a channel transition function so as to determine, for each transmission band, an estimated activation rate, on the basis of the measurements. The estimated activation rate corresponds to an occupation rate of a transmission band by an interferer within the given observation time window, and the probabilities computations include an iterative resolution of a non-linear optimization problem with a constraint derived from the Gibbs’ inequality.

Abstract: A method for geolocating an interference source in a communication-based transport system, wherein the communication-based transport system comprises: —a plurality of interference sources, distributed in a space and respectively emitting signal, —a vehicle, moving along a known trajectory, receiving the signal from the interference sources, and measuring the signal strength of the signal of only one interference source at a time instance; the method comprising: —separating the interference sources by clustering the signal strength of the signal with a clustering method; —estimating the locations of the interference sources in the space based on the separated interference sources.