A HILBERT TRANSFORM APPROACH IN-SOURCE IDENTIFICATION VIA MULTIPLE-INPUT SINGLE-OUTPUT MODELING FOR CORRELATED INPUTS

Several approaches can be employed to tackle source/path identificatio n problems via multiple-input single-output modeling. When the measure d inputs are correlated to each other, partial coherence function appr oach can be,used in which conditioning of the inputs is performed befo re calculating the contribution of each input. To ensure that the cond itioning analysis is successful, correct priorities of the correlated inputs must be provided first, which can be often resolved based on th e assumption of causality between a pair of correlated inputs. The con tribution of inputs is frequently assessed in the frequency domain and , furthermore, the priorities of the inputs may be frequency dependent . Here, Hilbert transform approach is employed to determine effectivel y such priorities in the frequency domain and is then applied to an ac oustical system. The results are compared with those by other approach es. (C) 1998 Academic Press.