| 基于樽海鞘算法的井下3D定位方法研究 |
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| 引用本文： | 王端义,李艾民.基于樽海鞘算法的井下3D定位方法研究[J].煤炭工程,2021,53(1):139-143. |
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| 作者姓名： | 王端义 李艾民 |
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| 作者单位： | 江苏建筑职业技术学院智能制造学院 |
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| 摘 要： | 针对井下工作人员定位的计算方法展开研究，引入樽海鞘算法进行位置估计。该算法结构简单，便于计算，能够有效地改进初始随机解，快速向最优解收敛。在对由四个UWB基站的测量数据得到的非线性方程组处理时，樽海鞘算法并没有像最小二乘法那样消除公共二次项变量，而是以原超定方程组寻优解算，这也是樽海鞘算法解算精度高于最小二乘法的重要原因。仿真结果表明，以目标的距离和方位角为对比参量，樽海鞘算法在3D位置解算方面相比最小二乘法表现更优。
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| 关 键 词： | 樽海鞘算法 3D定位 TOA 最小二乘法 |
| 收稿时间： | 2020-05-25 |
| 修稿时间： | 2020-11-23 |
Research on 3D positioning method in underground mine based on SSA |
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| Abstract: | In order to further improve the positioning accuracy of personnel in underground coal mine , Salp Swarm Algorithm is introduced in this paper for location estimation. The algorithm is easy to calculate with a simple structure and able to improve the initial random solutions effectively and converge towards the optimum. When dealing with the nonlinear equations obtained from the measurement data of four UWB base stations, Salp Swarm Algorithm does not eliminate the common quadratic variables as the least square method does, but uses the original overdetermined equations to find the optimal solution, which is also an important reason why the Salp Swarm Algorithm has a higher resolution accuracy than the least square method. The simulation results show that the Salp Swarm Algorithm performs better than the least square method in the 3D location calculation based on the distance and azimuth of the target. |
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