| Title |
Stochastic Error Compensation Method for RDOA Based Target Localization in Sensor Network |
| Authors |
최가형(Choi, Ga-Hyoung) ; 나원상(Ra, Won-Sang) ; 박진배(Park, Jin-Bae) ; 윤태성(Yoon, Tae-Sung) |
| Keywords |
RDOA ; Target localization ; Constrained least squares estimation ; Pseudo linear estimator ; Sensor network |
| Abstract |
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. |