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机构地区:[1]黄河科技学院物联网传感技术及其应用郑州市重点实验室,郑州450006
出 处:《电子科技大学学报》2013年第6期862-868,共7页Journal of University of Electronic Science and Technology of China
基 金:河南省科技攻关项目(112102310582);河南省教育厅科学技术研究重点项目(12B510020)
摘 要:接收信号强度(RSSI)易受环境干扰而出现多值,使得"RSSI-距离"的一一映射关系被破坏,导致单纯采用RSSI值和距离映射进行测距时存在较大误差。针对该问题,提出基于距离区间概率加权的测距方法,建立RSSI和距离区间之间的映射关系,并求出RSSI值出现在该区间中每个距离点下的概率,再以概率为权值对区间中的所有距离进行加权求和,将得到的结果作为该RSSI值对应的距离。仿真结果表明,和曲线拟合法及区间测距法相比,该方法在测距精度上均有不同程度的提高。Vulnerability to environmental interference makes RSSI multiple figures, which leads to the destruction of the one-to-one map between the "RSSI-Distance", and a larger error in the distance mapping which solely uses the point-to-point mapping between the RSSI and the distance. To solve this problem, a ranging method based on weighted distance interval probability is proposed: establishing the mapping relation between RSSI and distance interval, calculating the probability of the occurrence of RSSI in each point of the interval distance, and then weighted summing with probabilities of all intervals. The results is then used as the distance corresponding to the RSSI. The simulation results show that this method provides a higher ranging precision in different degrees compared with the method of curve fitting and interval ranging method.
关 键 词:距离区间 映射 测量点 概率 测距 接收信号强度
分 类 号:TN911[电子电信—通信与信息系统]
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