| RSS协助的ray-tracing室内定位算法 |
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| 引用本文： | 史云飞,郝永生,刘德亮,王波.RSS协助的ray-tracing室内定位算法[J].信号处理,2018,34(10):1259-1266. |
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| 作者姓名： | 史云飞 郝永生 刘德亮 王波 |
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| 作者单位： | 陆军工程大学石家庄校区 |
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| 基金项目： | 国家自然科学基金(61601494) |
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| 摘 要： | 针对室内定位，当信号受到非视距(non-line-of-sight, NLOS)和多径传播的影响时，本文提出一种接收信号强度(Received Signal Strength, RSS)协助的Ray-tracing室内定位算法，改进已经提出的基于虚拟基站方法的信号到达时间 (Time of Arrival, TOA)和信号到达角度(Direction of Arrival, DOA)室内无线信号Ray-tracing模型，利用信号RSS测量值优化算法，实现TOA、DOA和RSS协同定位，提高室内多径及非视距环境下，无线定位的精度，降低算法复杂度，提高算法处理信号多重散射的能力并降低了对基站的依赖性适用环境更为广泛。首先通过RSS得到信号源可能存在的位置，随后利用Ray-tracing原理并使用虚拟基站，将非视距路径定位问题转化为视距路径定位问题，利用TOA和DOA对直射、透射、反射和绕射情况进行分析建模，最后使用最小二乘法对可能的位置进行筛选，得到信号源的最终位置。仿真结果表明，本算法较改进前拥有更高的定位精度。
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| 关 键 词： | 室内定位 信号接收能量强度 光线追踪原理 信号到达时间 信号到达角度 |
| 收稿时间： | 2018-05-18 |
RSS-assisted ray tracing indoor positioning algorithm |
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| Affiliation: | Army Engineering University, Shijiazhuang |
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| Abstract: | For indoor positioning, when the signal is affected by NLOS and multipath propagation, an RSS-assisted Ray-Tracing indoor location algorithm is proposed. Improve the positioning accuracy of the TOA and DOA indoor wireless signal Ray-tracing model based on the virtual base station method, the RSS signal measurement optimization algorithm is used to achieve co-location of TOA, DOA and RSS, improve indoor multipath and NLOS environments, reduce the complexity of the algorithm, improve the ability of the algorithm to process multiple scattering signals and reduce the dependence on the base station. The application environment is more extensive. First obtain the possible location of the signal source via RSS, then use the Ray-Tracing principle and use the virtual base station to convert the NLOS path location problem to the NLOS location problem, using TOA and DOA for direct, transmission, reflection and diffraction situation is analyzed and modeled. Finally, the possible locations are screened using the least square method to obtain the final location of the signal source. Simulation results show that the algorithm has higher positioning accuracy. |
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