We present a practical super-resolution algorithm for the sub-beamwidth localization of multiple main-beam targets in clutter and interference. This is attained by applying dual-sided transformations mapping the array...
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ISBN:
(纸本)9781509048281
We present a practical super-resolution algorithm for the sub-beamwidth localization of multiple main-beam targets in clutter and interference. This is attained by applying dual-sided transformations mapping the array data into two reduced subspaces containing the information of interest. Super-resolution is then achieved by examining the eigenvalues of a ratio of such subspaces. If beamforming transformations are used, the resulting process can provide functionality equivalent to that of the product of the individual beampatterns, yielding an effective, practical process for transforming array data into signal location information, even in the presence of strong clutter and interference, in a way that is simpler and more accurate, robust and versatile than that of current super-resolution methods.
In this paper, we attempt to unify two array processing frameworks viz, Acoustic Vector Sensor (AVS) and two level nested array to enhance the Degrees of Freedom (DoF) significantly beyond the limit that is attained b...
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In this paper, we attempt to unify two array processing frameworks viz, Acoustic Vector Sensor (AVS) and two level nested array to enhance the Degrees of Freedom (DoF) significantly beyond the limit that is attained by a uniformlinear Hydrophone array (ULA) with specified number of sensors. The major focus is to design a linearray architecture which provides high resolution unambiguous bearing estimation with increased number of spatial nulls to mitigate the multiple interferences in a deep ocean scenario. AVS can provide more information about the propagating acoustic field intensity vector by simultaneously measuring the acoustic pressure along with tri-axial particle velocity components. In this work, we have developed Nested AVS array (NAVS) ocean data model to demonstrate the performance enhancement. Conventional and MVDR spatial filters are used as the response function to evaluate the performance of the proposed architecture. Simulation results show significant improvement in performance viz, increase of DoF, and localization of more number of acoustic sources and high resolution bearing estimation with reduced side lobe level.
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