One-Dimensional Search Location Algorithm Based on TDOA
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초록
In the vibration target localization algorithms based on time difference of arrival (TDOA), Fang algorithm isoften used in practice because of its simple calculation. However, when the delay estimation error is large, thelocalization equation of Fang algorithm has no solution. In order to solve this problem, one dimensional searchlocation algorithm based on TDOA is proposed in this paper. The concept of search is introduced in thealgorithm. The distance d1 between any single sensor and the vibration target is considered as a search variable. The vibration target location is searched by changing the value of d1 in the two-dimensional plane. Theexperiment results show that the proposed algorithm is superior to traditional methods in localization accuracy.
Abstract
In the vibration target localization algorithms based on time difference of arrival (TDOA), Fang algorithm isoften used in practice because of its simple calculation. However, when the delay estimation error is large, thelocalization equation of Fang algorithm has no solution. In order to solve this problem, one dimensional searchlocation algorithm based on TDOA is proposed in this paper. The concept of search is introduced in thealgorithm. The distance d1 between any single sensor and the vibration target is considered as a search variable. The vibration target location is searched by changing the value of d1 in the two-dimensional plane. Theexperiment results show that the proposed algorithm is superior to traditional methods in localization accuracy.
참고문헌 (13)
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