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出 处:《小型微型计算机系统》2014年第1期85-88,共4页Journal of Chinese Computer Systems
基 金:国家自然科学基金项目(61102065)资助;广州市科技计划项目(2012J4100119)资助;广州市珠江科技新星专项项目(2011J2200083)资助;广东省教育部产学研结合项目(2011B090400520)资助
摘 要:在无线传感器网络节点定位中,可以给锚节点装备天线阵列,通过MUSIC算法得到信号波达方向,然后利用锚节点和信号波达方向可以准确估计出未知节点的位置.但由于MUSIC算法只能估计少于阵元数的信号方向,本文提出采用二阶共轭增强的MUSIC算法,对阵列输出进行二阶共轭扩展,扩展出更多的虚拟矩阵,锚节点能估计出多于阵元数的信号方向,并能提高精度.仿真结果说明:利用二阶共轭扩展的MUSIC算法对无线传感器网络进行节点定位精度比MUSIC算法提高了40%~60%.In the Wireless Sensor Networks, the anchor nodes equipped with antenna arrays can get DOAs by MUSIC algorithm fwstly, and then estimate the unknown nodes' location with the anchor nodes and the DOAs accurately. However, the number of signal directions estimated by the MUSIC algorithm is less than the number of array elements. In this paper, the SO-CAM algolithm is pro- posed by making the second-order conjugate enhanced on the array output to solve this problem. The number of signal directions estimated by the SO-CAM algorithm is more than the number of array elements. Therefore, the accuracy of this method is improved. Simulation results show that SO-CAM algorithm has improved 40% to 60% localization accuracy more than the MUSIC algorithm.
关 键 词:无线传感器网络 节点定位 MUSIC算法 共轭扩展
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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