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A Correction Algorithm for Acoustic Localization Via Square Pyramid Array

机译:通过方锥阵列进行声定位的校正算法

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An unattended laser target designator was designed to adapt the up-to-date requirement, with an acoustic array used to locate target preliminarily, its estimated results will be used to control imaging sensors for accomplishing accurate positioning. The feature of passive acoustic localization is estimation accuracy of directional parameters is higher than that of distance parameters. Because tangent of azimuth angle varies linearly with the ratio of the two plane coordinate values, we can search the optimal plane coordinate values in the vicinity of the first estimated results after getting estimation value of azimuth angle. We devised a correction algorithm to make optimal searching in an interval around the estimated results. The final optimal results are confirmed to make the error of location equations to be smallest in least-squares approach. This correction algorithm shows perfect performance in simulation experiments while getting precise directional estimation. Some enhanced methods are also mentioned to advance real time ability, robustness, and flexibility.
机译:设计了无人值守的激光目标指示符,以适应最新要求,并使用声学阵列初步定位目标,其估计结果将用于控制成像传感器以实现精确定位。被动声定位的特点是方向参数的估计精度高于距离参数的估计精度。由于方位角的切线随两个平面坐标值的比值线性变化,因此在获得方位角的估计值之后,我们可以在第一个估计结果附近搜索最佳平面坐标值。我们设计了一种校正算法,可以在估计结果周围的时间间隔内进行最佳搜索。确定了最终的最佳结果,以最小二乘方法使位置方程的误差最小。该校正算法在仿真实验中显示出完美的性能,同时获得了精确的方向估计。还提到了一些增强的方法来提高实时能力,鲁棒性和灵活性。

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