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- W2372844585 abstract "The positioning accuracy of traditional method was very poor.In the view of probability theory,the paper applied iterative self-organizing data analysis techniques to positioning calculation for the first time,using the statistical characteristics that the closer to the source areas the greater probability to appear intersection points.The new algorithm clustered intersection points automatically,eliminated low level intersection points and selected the optimal the positioning points.Then,the location was calculated by the least square method.Theoretical analysis and simulation results show that the algorithm can effectively improve the positioning accuracy and the performance is superior especially in low SNR case." @default.
- W2372844585 created "2016-06-24" @default.
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- W2372844585 date "2010-01-01" @default.
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- W2372844585 title "A New Algorithm in Finding Location Based on Iterative Self-Organizing Data Analysis Techniques" @default.
- W2372844585 hasPublicationYear "2010" @default.
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