Correlation Method of Acoustic Characteristics of Multiple Targets during Water Entry
The underwater acoustic signal generated by a target entering the water is complex which can easily cause false alarm and miss due to the impulsive interference in ocean.In addition,it is difficult to correctly correlate the underwater acoustic signals of the same target between different observation nodes when multiple targets enter the water at different intervals.In order to solve the above problems,a multi-target water-entry acoustic signals correlation method is proposed.The detected transient signal is decomposed into the intrinsic mode function(IMF)through empirical mode decomposition,and the characteristics of the frequency spectrum and so on are extracted.The grey relational analysis method and fuzzy C-means clustering algorithm are used to realize the correlation of multi-target water-entry acoustic signals,providing necessary conditions for the subsequent distributed positioning.The simulated results show that the target correlation accuracy of the two methods can reach 98%and 87%,respectively,when the number of target feature parameters is 6,and the target correlation accuracy of the two methods can reach 95%and 87%,respectively,when the number of observation nodes is 7.The simulated results prove the feasibility and effectiveness of the proposed method.
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