Maximizing the Number of Spatial Nulls with Minimum Sensors

In this paper, we attempt to unify two array processing frameworks viz, Acoustic Vector Sensor (AVS) and level nested enhance the Degrees of Freedom (DoF) significantly beyond limit that is attained by a Uniform Linear Hydrophone Array (ULA) with specified number sensors. The major focus design line architecture which provides high resolution unambiguous bearing estimation increased spatial nulls mitigate multiple interferences in deep ocean scenario. AVS can provide more information about propagating acoustic field intensity vector simultaneously measuring pressure along tri-axial particle velocity components. work, have developed Nested (NAVS) data model demonstrate performance enhancement. Conventional MVDR filters are used as response function evaluate proposed architecture. Simulation results show significant improvement increase DoF, localization sources reduced side lobe level.