针对超宽带传感器网络室内定位问题,建立了一种符合IEEE 802.15.4a标准的超宽带室内传播信道模型。在此模型基础上提出基于最大似然估计的RSSI测距方法,给出了测距误差的Cramer-Rao 下界(CLRB),分析了定位误差与测距误差的关系并应用到定位算法中,最后提出一种面向测距和定位的超宽带传感器网络模型。仿真实验结果表明采用该信道模型,测距和定位算法,显著提高无线传感器网络的测距和定位性能。
An Ultra-Wide Band (UWB) indoor propagation channel model for localization in UWB sensor networks, which meets the requirement of IEEE 802.15.4a, was proposed. On the basis of this propagation channel model, maximum likelihood estimation based RSSI ranging was proposed, Cramer-Rao lower bound (CRLB) of ranging error was derived, and the relation between localization error and ranging error was analyzed. One network model of ranging and localization-oriented UWB sensor networks was established to validate these methods presented above. Simulation results indicate that the propagation channel model, ranging and localization algorithm can achieve a significant improvement in the performance of ranging and localization in wireless sensor networks.