Goniometry method for signals transmitted by a plurality of transmitters in a system comprising N sensors and P reception pathways Ri, with P less than N, and which comprises at least the following steps: • selecting a first sub-array of P sensors, acquiring the signals or observations on the first sub-array from a first instant t k over a duration T, • selecting a second sub-array of P sensors, acquiring the signals or observations on the second sub-array from a second instant t k +T over a same duration T, up to a C th sub-array of P sensors, acquiring the signals or observations on the C th sub-array from a C th instant t k +(C-1)T over a same duration T, • determining, from the first observation and from the subsequent observations acquired on the C sub-arrays, a first covariance matrix of the signals R xx 1 ( t k) corresponding to the first observation and for c such that 2≤ c ≤ C, the covariance matrices R xx c ( t k +(c-1) T) corresponding to the C th observation, characterized in that it determines, for 1≤ c ≤ C signal spaces E s c ( t k) of each of the switchings from the corresponding matrices R xx c ( t k +( c -1) T), by initializing E s old ( t k)= E s 1 ( t k) such that, on the C th iteration, E s old ( t k) and E s c ( t k) each have a sub-matrix E s, ∪ c and E s, ∪ c each corresponding to the sensors in common and a sub-matrix E s, ∩ old and E s, ∩ c each corresponding to the sensors not in common, • from the sub-parts of the signal spaces E s, ∪ c and E s, ∪ c estimated on the sensors in common, determining the transition matrix Ω = E s, ∪ 1 H E s, ∪ 1 − 1 E s, ∪ 1 H E s, ∪ 2 = T k 1 # T k 2 between the two signal spaces, reconstructing the signal space E s 1... c t k + c − 1 T corresponding to the sub-array for which the signals from the sensors acquired at the instants tk+(i-1)T for 1≤ i ≤ c, then recalculating E s old ( t k) with E s old t k = E s 1... c t k + c − 1 T, on the C th switching, • applying a goniometry algorithm to the reconstructed signal space E s 1... C t k + C − 1 T. • selecting a first sub-array of P sensors, acquiring the signals or observations on the first sub-array from a first instant t k over a duration T, • selecting a second sub-array of P sensors, acquiring the signals or observations on the second sub-array from a second instant t k +T over a same duration T, up to a C th sub-array of P sensors, acquiring the signals or observations on the C th sub-array from a C th instant t k +(C-1)T over a same duration T, • determining, from the first observation and from the subsequent observations acquired on the C sub-arrays, a first covariance matrix of the signals R xx 1 ( t k) corresponding to the first observation and for c such that 2≤ c ≤ C, the covariance matrices R xx c ( t k +(c-1) T) corresponding to the C th observation, characterized in that it determines, for 1≤ c ≤ C signal spaces E s c ( t k) of each of the switchings from the corresponding matrices R xx c ( t k +( c -1) T), by initializing E s old ( t k)= E s 1 ( t k) such that, on the C th iteration, E s old ( t k) and E s c ( t k) each have a sub-matrix E s, ∪ c and E s, ∪ c each corresponding to the sensors in common and a sub-matrix E s, ∩ old and E s, ∩ c each corresponding to the sensors not in common, • from the sub-parts of the signal spaces E s, ∪ c and E s, ∪ c estimated on the sensors in common, determining the transition matrix Ω = E s, ∪ 1 H E s, ∪ 1 − 1 E s, ∪ 1 H E s, ∪ 2 = T k 1 # T k 2 between the two signal spaces, reconstructing the signal space E s 1... c t k + c − 1 T corresponding to the sub-array for which the signals from the sensors acquired at the instants tk+(i-1)T for 1≤ i ≤ c, then recalculating E s old ( t k) with E s old t k = E s 1... c t k + c − 1 T, on the C th switching, • applying a goniometry algorithm to the reconstructed signal space E s 1... C t k + C − 1 T.