2 August 1999 Baseband Weiner filter processing for mine detection from scanned laser-induced acoustic data
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Abstract
We consider the problems of detecting, localizing, and characterizing the shapes of buried mines from acoustic transducer data. A multipath model is used to describe the contributions in the data from fields scattered both by the ground as well as the object. By identifying the parameters in the model, we can successfully solve the target identification problem. Unfortunately, the narrow band and bandpass characteristics of the transducer in our system prevent a straightforward application of a Wiener filter as a means of extracting these parameters. Because of the bandpass nature of the transducer it is necessary to develop a base-banding procedure as a preprocessing stage for the Wiener filter. Due to the very narrow bandwidth, a detect and subtract method is constructed to extract the weak signal arising from the buried object which otherwise is drowned out in the sidelobes generated by the processing of the ground bounce. We demonstrate the utility of our approach on real experimental data collected at Northeastern University.
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Pengyu Shi, Eric L. Miller, "Baseband Weiner filter processing for mine detection from scanned laser-induced acoustic data", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357022; https://doi.org/10.1117/12.357022
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