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Multiresolution processing for source detection and localization

Mult iresolut ion processing for source detection and localization
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摘要 The conventional BF/MFP (beamforming/matched field processing) or BF/MFP based on subspace are traditional array signal processing methods for source's detection and location, they are all belonging to singe-resolution processing. In fact, the array signal has multiresolution structure, which is worthy of exploiture and utilization to enhance the ability of detection and location, especially to improve the robustness for BF/MFP. The time-space multiresolution modeling of multipath transmitted wave and the corresponding multiresolution focused processing are investigated, and it is shown from the analysis of actual sea-trial data that the performance of MFP can be improved. The conventional BF/MFP (beamforming/matched field processing) or BF/MFP based on subspace are traditional array signal processing methods for source's detection and location, they are all belonging to singe-resolution processing. In fact, the array signal has multiresolution structure, which is worthy of exploiture and utilization to enhance the ability of detection and location, especially to improve the robustness for BF/MFP. The time-space multiresolution modeling of multipath transmitted wave and the corresponding multiresolution focused processing are investigated, and it is shown from the analysis of actual sea-trial data that the performance of MFP can be improved.
出处 《Chinese Journal of Acoustics》 2003年第3期274-282,共9页 声学学报(英文版)
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