| 基于粒子滤波的TOA/TDOA融合算法研究 |
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| 引用本文： | 何伟俊,周非.基于粒子滤波的TOA/TDOA融合算法研究[J].传感技术学报,2010,23(3). |
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| 作者姓名： | 何伟俊 周非 |
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| 作者单位： | 重庆邮电大学无线定位与空间测量研究所,重庆,400065 |
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| 基金项目： | 重庆市教委自然科学基金项目资助(KJ080520);;重庆市科委自然科学基金项目资助(CSTC,2008BB2412) |
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| 摘 要： | 针对信号临界区域由于信号强度减弱导致的定位精度下降问题,利用一种传感器检测概率模型把收集到所有的TOA与TDOA量测信息通过似然度计算融合起来,在贝叶斯框架下建立一种非线性目标基于粒子滤波器的量测信息融合算法对目标进行定位估计,从而提高目标在临界区域的定位精度。仿真结果表明,在低信噪比下,融合两种观测手段的定位精度改善明显。
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| 关 键 词： | 信息融合 TOA TDOA 粒子滤波 无线定位 |
The research of fusion of TOA/TDOA based on Particle Filter |
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| HE Weijun,ZHOU Fei.The research of fusion of TOA/TDOA based on Particle Filter[J].Journal of Transduction Technology,2010,23(3). |
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| Authors: | HE Weijun ZHOU Fei |
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| Affiliation: | Institute of Wireless Location & Space Measurement;Chongqing University of Posts and Telecommunications;Chongqing 400065;China |
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| Abstract: | The measurement information of TOA and TDOA is fused using the detection probability model by calculating the likelihood.In order to improve the accuracy in signal critical fields,a nonlinear target measurement information fusion algorithm based on particle filter is established within Bayesian framework to estimate the target in positioning.Simulation results shows that such algorithm gives a more efficient performance to compare to the situation of using single measurement information. |
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| Keywords: | data fusion TOA TDOA particle filter wireless localization |
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