一种视距与非视距混合环境下RSS定位方法
RSS-based localization under hybrid LOS/NLOS environments
本文针对当前视距与非视距混合环境下无线定位精度不高问题，提出一种基于接收信号强度（Received Signal Strength, RSS）的动态定位方法。该方法采用混合高斯模型来同时刻画视距和非视距传播的影响，克服了现有方法中视距与非视距传播识别难题，并且利用动态期望最大算法来实时调整模型参数，以适应环境的时变特性。进一步，考虑到实际定位中测试位置几何关系对定位精度的影响，提出了基于最佳几何精度衰减因子(GDOP)的测试点位置选取方法。仿真实验表明，在视距与非视距混合环境下该方法不仅具有较高的定位精度，而且能够适应环境的动态变化。
In order to enhance the positioning accuracyunderhybrid line-of-sight (LOS) and non-line-of-sight (NLOS)environments, a novel received signal strength (RSS)localization method based on the hybrid Gaussian model is proposed. Then, the scheme use iterativeEM algorithm to calculate the parameters of the model to match the dynamicenvironment.Meanwhile, we exploit the GDOP to obtain the optimalgeometry of measurement nodes. The simulation results show that the proposed methodcan effectively reduce the positioning error and make the positioning result more accurate under hybrid LOS/NLOS conditions.
柯炜、郭青
无线通信
视距非视距高斯模型几何精度衰减因子
line-of-sightnon-line-of-sightGaussian modelGDOP
柯炜,郭青.一种视距与非视距混合环境下RSS定位方法[EB/OL].(2017-04-27)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/201704-717.点此复制
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