Method for identifying modes of radar emission by a system for detecting radar signals, a mode being characterized by a set of characteristic parameters defining said radar signals, said set of characteristics having the emission frequency, the pulse length and the repetition period, said method being characterized in that it comprises at least: - a first step selecting a restricted number of candidate modes arising from a database on the basis of the interception of an unknown radar mode to be identified able to be characterized by a number L of given parameters; - a second step performing a scoring: ∘ by assigning a similarity index to each of the said L parameters, for each candidate mode, the said index being the index of similarity between the moment of the parameter of the candidate mode and the moment of the same parameter of the unknown mode and; ∘ by computing a value of conflict between the said parameters taken pairwise, the computation being performed on the basis of the indices of similarity of moments of each of the said parameters; - a third step consisting in grouping together, by successive iterations, the said L parameters in such a way that, at each iteration: ∘ the two parameters having the lowest conflict value (K min (t)) are grouped together; ∘ the similarity indices of the moments of the other parameters are computed for the grouping; ∘ the updating of the conflicts is performed by computing the value of conflict between the grouping and the other parameters; ∘ the lowest conflict value (K min (t)) is stored as well as the similarity indices (i 1 (t) and i 2 (t)) of the two parameters grouped together; the identification of the radar mode consisting in choosing the grouping of parameters that arises from the iteration (t) whose value of lowest conflict (K min (t)) is less than a given threshold, and in retaining first the candidate mode whose similarity index is the largest from among the similarity indices stored up to the said iteration (t). - a first step selecting a restricted number of candidate modes arising from a database on the basis of the interception of an unknown radar mode to be identified able to be characterized by a number L of given parameters; - a second step performing a scoring: ∘ by assigning a similarity index to each of the said L parameters, for each candidate mode, the said index being the index of similarity between the moment of the parameter of the candidate mode and the moment of the same parameter of the unknown mode and; ∘ by computing a value of conflict between the said parameters taken pairwise, the computation being performed on the basis of the indices of similarity of moments of each of the said parameters; ∘ by assigning a similarity index to each of the said L parameters, for each candidate mode, the said index being the index of similarity between the moment of the parameter of the candidate mode and the moment of the same parameter of the unknown mode and; ∘ by computing a value of conflict between the said parameters taken pairwise, the computation being performed on the basis of the indices of similarity of moments of each of the said parameters; - a third step consisting in grouping together, by successive iterations, the said L parameters in such a way that, at each iteration: ∘ the two parameters having the lowest conflict value (K min (t)) are grouped together; ∘ the similarity indices of the moments of the other parameters are computed for the grouping; ∘ the updating of the conflicts is performed by computing the value of conflict between the grouping and the other parameters; ∘ the lowest conflict value (K min (t)) is stored as well as the similarity indices (i 1 (t) and i 2 (t)) of the two parameters grouped together; ∘ the two parameters having the lowest conflict value (K min (t)) are grouped together; ∘ the similarity indices of the moments of the other parameters are computed for the grouping; ∘ the updating of the conflicts is performed by computing the value of conflict between the grouping and the other parameters; ∘ the lowest conflict value (K min (t)) is stored as well as the similarity indices (i 1 (t) and i 2 (t)) of the two parameters grouped together;