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- W2349646314 abstract "In order to eliminate the biased errors from the bearings-only infrared target localization estimators and solve the problem of the existence of multiple solutions in the available algorithms,a bearings-only infrared target localization algorithm based on the optimal total least squares is proposed.With the study of the total least squares theory,a cost function is constructed to solve the problem for identical least singular values with extended measurement equations.A theoretical analysis of the optimum total least squares algorithm proves the simulated results are unbiased.Compared with the total least squares algorithm and modified instrumental variable algorithm,the proposed algorithm can reach the Cramer-Rao lower bound(CRLB)quickly under the Gaussian noise,proving better estimation accuracy and stability." @default.
- W2349646314 created "2016-06-24" @default.
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- W2349646314 date "2012-01-01" @default.
- W2349646314 modified "2023-09-27" @default.
- W2349646314 title "Optimal Total Least Squares Algorithm for Infrared Target Localization with Single Station" @default.
- W2349646314 hasPublicationYear "2012" @default.
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