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基于UWB定位误差统计特性分析的NLOS鉴别 被引量：2

NLOS identification based on statistic analysis of UWB localization error
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摘要 将NLOS鉴别视为假设检验问题,根据对UWB定位误差模型统计特性的分析,提出一种基于误差分布的NLOS鉴别概率,给出了NLOS条件下定位误差的概率密度函数,通过理论推导给出了鉴别概率的求解过程。仿真实验讨论了定位误差对NLOS鉴别概率的影响,实验结果表明,在一定的虚警概率下,NLOS鉴别概率能达到90%以上。 NLOS identification is capable to provide significant prior information in IR-UWB localization. Regarding NLOS identification as a hypothesis test and according to the statistic property of UWB localization error, the probability of NLOS identification is proposed based on the error distribution. The closed-form expression of probability density function of the localization error under NLOS condition is derived. The solution of identification probability is obtained in term of theoretical analysis. The impacts of localization error are evaluated numerically with simulation. It is demonstrated that the proposed probability of NLOS identification can reach over 90% in certain false alarm.
作者 肖竹 宋宝相 孙宛 于全 易克初
机构地区 湖南大学计算机与通信学院 西安电子科技大学综合业务网国家重点实验室 总参第
出处 《吉林大学学报（工学版）》 EI CAS CSCD 北大核心 2010年第5期1381-1385,共5页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金项目(60572148 60702060) 高等学校学科创新引智计划项目(B08038)
关键词 通信技术 超宽带 定位误差 非视距 假设检验 鉴别概率 communication UWB localization error non line-of-sight hypothesis test identification probability
分类号 TN912 [电子电信—通信与信息系统]
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参考文献12

  • 1曹福成,王树勋,孙晓颖.基于子空间的DS-UWB系统高分辨率低复杂度时延估计[J].吉林大学学报（工学版）,2008,38(2):471-475. 被引量：4
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二级参考文献9

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二级引证文献5

吉林大学学报（工学版）
2010年 第5期

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