Characterizing and Improving the Performance of the MVDR Processor
NAVAL OCEAN SYSTEMS CENTER SAN DIEGO CA
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In this document we demonstrate the utility of the magnitude squared of the minimum variance distortionless response MVDR weight vector and the performance improvement due to adaptivity PIA in characterizing MVDR performance. We use these parameters to determine how and under what conditions MVDR performance is degraded due to various environmental conditions. We also use these parameters as a basis for improving MVDR performance. We will confuse ourselves to the plane wave signal model in this document to concentrate on the issues of adaptive array processing and to separate the analysis from the more general matched field problem. Thus, the simulations presented here will involve only sparse, horizontal random arrays. In section 1.0 we introduce basic array processing principles. In section 2.0 we describe these useful parameters and show under what conditions MVDR performance is enhanced or degraded. In section 3.0 we present and analyze approaches to improving MVDR performance that are based upon synthetic alterations of the environment. Finally in section 4.0 we present MVDR processor simulation results that demonstrate the effect various environmental conditions have on performance and how the white noise constraint WNC robust MVDR algorithm can improve MVDR performance under conditions of mismatch.
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