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机构地区:[1]浙江商业职业技术学院,浙江杭州310053 [2]浙江工业大学信息学院,浙江杭州310023
出 处:《电声技术》2015年第10期69-72,共4页Audio Engineering
基 金:浙江省科技厅重大专项(2014NM002)
摘 要:传统的室内定位技术由于RSSI受限于多径效应和时间波动性,定位效果具有很大的不稳定性。采用细粒化的无线状态信道信息,即通过对物理层信道响应的测量来减少多径干扰,并实现采用OFDM和MIMO技术的新一代无线网络条件下的室内定位新方法。分析了定位算法的系统设计,通过802.11n无线网卡采集OFDM系统中特性信道状态信息的频率分集特性参数并经过校准,使之应用于室内定位算法。仿真结果显示相比于传统基于RSSI的定位方法,基于信道状态信息的室内定位系统具有更好的定位精度和稳定性。Most of the indoor localization systems nowadays are based on received signal strength indicator (RSSI). However, it suffers from dramatic performance degradation in complex situations due to muhipath fading and temporal dynamics. Breaking-through techniques resort to finer-grained wireless channel measurement than RSSI. Different from RSSI, the PHY layer power feature which called channel response is able to discriminate multipath characteristics, thus holds the potential for the convergence of accurate and pervasive indoor localization in OFDM and MIMO wireless network. We use the commercial 802. 11 n NICs, and then evaluate its performance by receiving channel state information (CSI) in indoor environment. The simulation results show that the accuracy can be significantly enhanced by using CSI.
分 类 号:TN92[电子电信—通信与信息系统]
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