Research on passive detection pre processing of sonobuoy arrays based on cross localization

DOI:	10.11809/bqzbgcxb2023.05.028
Keywords:	sonobuoy; minimum variance; cross location; data correlation; measurement pre processing
Abstract:	The accuracy of cross localization directly determines the detection performance of passive methods for underwater targets, and the uncertainty of the number of targets and the complexity of their positional relationships will further affect the accuracy of cross localization. Aiming at the above problems, this paper proposes a distance and azimuth data interconnection algorithm based on minimum cross positioning variance. Firstly, two typical motion characteristics of underwater targets are analyzed, and motion models of underwater targets are constructed respectively. Secondly, the influence of the sonobuoy array and the principle of cross localization on the positioning accuracy is studied, and a passive detection model of the sonobuoy is constructed. Finally, the pre processing before passive detection of underwater targets is completed by using the method of distance and azimuth data association. The simulation results show that the overall performance of the algorithm is better than that of the typical fuzzy clustering method and the nearest neighbor method under the conditions of multi target track intersection and complex noise environment.
Issue:	Vol. 44 No. 5 (2023)
Published:	2023-05-28
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