Computer implemented method for estimating interferers of radiofrequency system, computer program, and device

A computer implemented method for estimating interferers of a radiofrequency system embarked in a moving vehicle, the method comprising:

• obtaining a trajectory of the moving vehicle at each time n, with a non-overlapping condition between the interferers considered as K independent active sources of interference having respective positions θ=[θ1, . . . , θk, . . . , θK],
• obtaining observations Zn corresponding to measurement, measured by an interface of the radiofrequency system in the moving vehicle, of interference from time instant 1 to N, and building an observation vector Z=[Z1, . . . , Zn, . . . , ZN],
• defining a latent variable Vn indicating which source is activated at moment n, to build a vector of latent variables V=[V1, . . . , Vn, . . . , VN], and
• implementing a Dirichlet process involving a Gibbs sampling with a Markov chain defined by vector V=[V1, . . . , Vn, . . . , VN], the sampling as follows, being repeated until convergence:
• for n=1, . . . , N,
• if the observation Zn is already associated to a source, remove observation Zn from its current associated source corresponding to latent variable Vn, and retrieve a position posterior of this source as the observation Zn is no longer belonging to this source,
• draw a new value of latent variable Vn, based on a conditional probability P(Vn=k|V−n, Z−n, Zn) depending on whether a source k pre-existed or not,
• Associate the observation Zn to the source corresponding to latent variable Vn, and update the posterior distribution of the position for the source corresponding to latent variable Vn,
• and, upon convergence of the algorithm, operating thereby:
• a separation of interfering sources into K independent measurement sets related respectively to the K interfering sources, and
• an estimation of each source position with the interfering sources thus separated.