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A novel solution for passive source localization algorithm using TDOA and GROA measurements
Received date: 2014-09-11
Revised date: 2015-01-13
Online published: 2015-01-19
Supported by
National Natural Science Foundation of China (61201282)
This paper propose a novel method for passive source localization based on time differences of arrival (TDOA) and gain ratios of arrival (GROA) measurements. By introducing an intermediate variable into the TDOA and GROA measurement models, a constrained weighted least squares (CWLS) estimator is presented. Due to the nonconvex feature of the CWLS problem, the existing methods cannot perform very well. To handle this difficulty, an efficient method is proposed to find its global solution. Moreover, the proposed method is extended to solve the localization problem with sensor position errors. Simulation results corroborate that the proposed method outperforms the two-step weighted least squares method and can attain the Cramér-Rao lower bound (CRLB) at higher noise levels.
DU Yanshen , WEI Ping , ZHANG Huaguo . A novel solution for passive source localization algorithm using TDOA and GROA measurements[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(9) : 3034 -3040 . DOI: 10.7527/S1000-6893.2015.0018
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