移动传感器网络节点快速一致性滤波定位 |
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引用本文: | 钱慧,周样云,许志猛,余轮.移动传感器网络节点快速一致性滤波定位[J].计算机科学,2013,40(3):155-158. |
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作者姓名: | 钱慧 周样云 许志猛 余轮 |
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作者单位: | (福州大学物理与信息工程学院 福州 350108) |
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摘 要: | 针对移动传感器网络拓扑结构的动态特性,提出了一种快速卡尔曼一致性滤波定位算法。该算法依据Mc-
tropolis准则,仅利用通信节点之间的RSSI值快速调整融合步长。在网络拓扑结构未知的情况下,利用卡尔曼一致性
滤波定位算法实现位置求精。仿真结果表明,与Saber算法相比,该方法能够在降低通信量的同时,提高节点的定位
精度,适合移动传感器网络。
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关 键 词: | 移动传感器网络,节点定位,分布式卡尔曼滤波器,一致性融合 |
Mobile Sensor Network Node Fast Consensus Filter Localization |
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Abstract: | Aimed at the dynamic properties of mobile sensor networks topology, a quickly kalman-consensus filter local-
ization scheme was proposed. I}his algorithm only uses the RSSI value between the communication nodes to quickly ad-
just fusion step on Metropolis rule. Under the situation of unknown networks topology, more precise localization is a-
chieved steadily by kalman-consensus filter. From the simulation results, compared with Saber algorithm, the proposed
scheme can depress the communication consummation and suits mobile sensor networks. |
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Keywords: | Mobile sensor networks Node localization Distributed kalman filter Consensus fusion |
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