An algorithm used trigonometry to passively locating a moving emitter with direction of arrival (DOA) and time difference of arrival (TDOA) of the emitter signal is given.
提出了一种利用平面解三角，并结合辐射源信号到达方向和脉冲到达时间差对运动辐射源进行单站无源定位的算法。
Then we propose a RANSAC algorithm using TDOA estimation for robust speak localization based on valid frames.
在所获得的有效帧的基础上提出一种基于TDOA估计的鲁棒RANSAC算法对说话人进行定位。
In order to solve these problems, a rank-truncated multi-station TDOA localization algorithm based on singular value decomposition was presented.
为了解决这些问题，提出了一种基于奇异值分解的秩截短多站时差定位算法。
Simulations showed that the performance of the proposed tracking method was better than the TDOA tracking method and the static location of Taylor series expansion algorithm.
实验证明，该方法的定位误差性能优于单纯的TDOA定位方法及静态定位方法中泰勒级数展开法的误差性能。
Simulations showed that the performance of the proposed tracking method was better than the TDOA tracking method and the static location of Taylor series expansion algorithm.
实验证明，该方法的定位误差性能优于单纯的TDOA定位方法及静态定位方法中泰勒级数展开法的误差性能。
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