A modified MUSIC algorithm based on spatial spectrum enhancement of a single vector hydrophone

A modified Multiple Signal Classification (MUSIC) algorithm of single acoustic vector hydrophone is proposed by enhancing space spectrum under low SNR condition. The basic principle of the algorithm is described as follows:an auxiliary source is added when a single sound source is incident on a single vector hydrophone, if the azimuth of the auxiliary source is the same as the signal source azimuth, the space spectrum will be enhanced; if the two azimuths are not in the same, the composite azimuth of the two azimuths will make the spatial spectrum estimation exhibiting deviation. So when the auxiliary source azimuth is consistent with the signal source one, the spectrum peak will be enhanced and the spatial spectrum reaches the maximum, moreover this azimuth assured is just the signal source azimuth. The results of simulation and test data processing show that, compared with conventional MUSIC algorithms, this algorithm has sharper peaks and higher estimation accuracy, can better achieve spatial spectrum estimation.