Direction-Finding with a Misoriented Acoustic Vector Sensor

Abstract

A new focusing technique is proposed for the direction-finding with an acoustic vector sensor when the acoustic vector sensor suffers arbitrarily fluctuating misorientation. The data set collected in the total observation time is partitioned into several sub data sets at different time segments. These sub data sets with different orientations are transformed into new data sets aligned with the reference orientation by the proposed focusing transformation matrix. The conventional direction-finding algorithms can then be adopted to the newly constructed data sets. The efficacy of this approach is demonstrated by simulation results.