Min-norm spatial spectrum based on acoustic vector-sensor linear array

1 Introduction1 The Min-Norm(MN) algorithm was proposed by Kumaresan and Tufts1] for estimating the DOA of targets applied at pressure sensor arrays. It has been proved that lower bias and higher resolution of DOA estimation using the MN algorithm is obt…

Min-norm spatial spectrum based on acoustic vector-sensor linear array

The high resolution of DOA(direction of arrival) estimation could be obtained by using the min-norm algorithm. In this paper, the expression of the min-norm spatial spectrum based on acoustic vector-sensor(AVS) linear arrays was presented and simulation study was carried out. Results of simulations indicated that left/right ambiguity could be removed and better performance for DOA estimation was obtainable when dealing with sources close to endfire than using pressure hydrophone linear arrays, and the interelement spacing was allowed to exceed the half-wavelength upper limit. A three-element vector hydrophone linear array with two meters interspace was designed. The AVS experiment was carried out at Songhua Lake in Jinlin Province. Experimental results show a high resolution tracking of targets can be obtained using the min-norm algorithm.