| Paper: | SAM-L3.5 | ||
| Session: | Multichannel Signal Processing for Radar and Sonar | ||
| Time: | Friday, May 21, 16:50 - 17:10 | ||
| Presentation: | Lecture | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Physics-based sensor array processing | ||
| Title: | TIME-REVERSAL IMAGING AND CLASSIFICATION FOR DISTANT TARGETS IN A SHALLOW WATER CHANNEL | ||
| Authors: | Nilanjan Dasgupta; Duke University | ||
| Lawrence Carin; Duke University | |||
| Abstract: | Time-reversal imaging (TRI) is analogous to matched-field processing, although TRI is typically very wideband and is capable of performing target classification (in addition to localization). In this paper we apply the time reversal technique to locate man-made cylindrical targets moving in a shallow ocean channel at long range, as well as to classify them from natural false targets like a school of fish. We present imaging and classification on simulated scattering data, for both target classes. In addition to the imaging, we explore extraction of features from the time-reversal images, with these applied to subsequent target classification. Time-reversal implementation requires a fast forward model, with that implemented here by a normal-mode model. In this paper, we present the underlying theory of TRI, feature extraction and target classification via a relevance vector machine (RVM). | ||
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