Matched field processing: analysis of feature extraction method with ocean experimental data

Abstract

Mismatch problem has been one of the important issues of matched field processing for underwater source detection. To overcome this mismatch, many researches for robust algorithm have been done. Feature extraction method (FEM) is one of the robust matched field processing algorithms which is based on the eigenvector estimation. Excluding eigenvectors of replica covariance matrix corresponding to large eigenvalues and forming an incoherent subspace of the replica field, the processor is formulated similar to MUSIC algorithm. Using the ocean experimental data, FEM and MVDR results are presented for two levels of multi-tone source. Analysis of eigen-space of CSDM and FEM performance is also presented.