Stochastic error compensation method for RDOA based target localization in sensor network

Ga Hyoung Choi, Won Sang Ra, Jin Bae Park, Tae Sung Yoon

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


A recursive linear stochastic error compensation algorithm is newly proposed for target localization in sensor network which provides range difference of arrival(RDOA) measurements. Target localization with RDOA is a well-known nonlinear estimation problem. Since it can not solve with a closed-form solution, the numerical methods sensitive to initial guess are often used before. As an alternative solution, a pseudo-linear estimation scheme has been used but the auto-correlation of measurement noise still causes unacceptable estimation errors under low SNR conditions. To overcome these problems, a stochastic error compensation method is applied for the target localization problem under the assumption that a priori stochastic information of RDOA measurement noise is available. Apart from the existing methods, the proposed linear target localization scheme can recursively compute the target position estimate which converges to true position in probability. In addition, it is remarked that the suggested algorithm has a structural reconciliation with the existing one such as linear correction least squares(LCLS) estimator. Through the computer simulations, it is demonstrated that the proposed method shows better performance than the LCLS method and guarantees fast and reliable convergence characteristic compared to the nonlinear method?

Original languageEnglish
Pages (from-to)1874-1881
Number of pages8
JournalTransactions of the Korean Institute of Electrical Engineers
Issue number10
Publication statusPublished - 2010 Oct

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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