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作 者:ZHANG TongWei YANG KunDe MA YuanLiang
机构地区:[1]College of Marine, Northwestern Polytechnical University, Xi'an 710072, China
出 处:《Chinese Science Bulletin》2011年第8期743-748,共6页
基 金:supported by the National Natural Science Foundation of China (10774119);the Program for New Century Excellent Talents in University (NCET-08-0455);the Natural Science Foundation of Shaanxi Province,China (SJ08F07)
摘 要:Time-reversal processing(TRP) is an implementation of matched-field processing(MFP) where the ocean itself is used to construct the replica field.This paper introduces virtual time-reversal processing(VTRP) that is implemented electronically at a receiver array and simulates the kind of processing that would be done by an actual TRP during the reciprocal propagation stage.MFP is a forward propagation process,while VTRP is a back-propagation process,which exploits the properties of reciprocity and superposition and is realized by weighting the replica surface with the complex conjugate of the data received on the corresponding element,followed by summation of the processed received data.The number of parabolic equation computational grids of VTRP is much smaller than that of MFP in a range-dependent waveguide.As a result,the localization surface of VTRP can be formed faster than its MFP counterpart in a range-dependent waveguide.The performance of VTRP for source localization is validated through numerical simulations and data from the Mediterranean Sea.Time-reversal processing (TRP) is an implementation of matched-field processing (MFP) where the ocean itself is used to con- struct the replica field. This paper introduces virtual time-reversal processing (VTRP) that is implemented electronically at a re- ceiver array and simulates the kind of processing that would be done by an actual TRP during the reciprocal propagation stage. MFP is a forward propagation process, while VTRP is a back-propagation process, which exploits the properties of reciprocity and superposition and is realized by weighting the replica surface with the complex conjugate of the data received on the corre- sponding element, followed by summation of the processed received data. The number of parabolic equation computational grids of VTRP is much smaller than that of MFP in a range-dependent waveguide. As a result, the localization surface of VTRP can be formed faster than its MFP counterpart in a range-dependent waveguide. The performance of VTRP for source localization is validated through numerical simulations and data from the Mediterranean Sea.
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