| 引用本文: | 杨小军,马祥,宋青松,邢科义.基于条件后验克拉美–罗下界的目标跟踪传感器管理[J].控制理论与应用,2013,30(5):543~548.[点击复制] |
| YANG Xiao-jun,MA Xiang,SONG Qing-song,XING Ke-yi.Sensor management for target tracking based on conditional posterior Cramér-Rao lower bounds[J].Control Theory and Technology,2013,30(5):543~548.[点击复制] |
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| 基于条件后验克拉美–罗下界的目标跟踪传感器管理 |
| Sensor management for target tracking based on conditional posterior Cramér-Rao lower bounds |
| 摘要点击 4517 全文点击 3130 投稿时间：2012-08-17 修订日期：2012-12-06 |
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| DOI编号 10.7641/CTA.2013.20878 |
| 2013,30(5):543-548 |
| 中文关键词 传感器网络 传感器管理 目标跟踪 克拉美–罗下界 粒子滤波器 |
| 英文关键词 sensor networks sensor management target tracking Cramér-Rao lower bounds particle filtering |
| 基金项目 国家自然科学基金资助项目(60975028, 61101215, 61201406); 中央高校基本科研业务费专项资金资助项目(CHD2012ZD011). |
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| 中文摘要 |
| 对传感器网络下的目标跟踪问题, 基于条件后验克拉美–罗下界(CPCRLB)提出一种传感器网络节点管理方法. 传感器节点的观测数据是目标信号强度(RSS), 基于RSS量测推导了目标状态估计均方误差的CPCRLB. 以CPCRLB作为传感器管理的准则, 选择激活一组最优传感器节点参与目标跟踪. 利用粒子滤波器逼近目标状态, 并估计CPCRLB, 实现传感器节点在线选择. 对基于CPCRLB、无条件后验克拉美–罗下界(PCRLB)和互信息理论的传感器选择方法进行对比仿真, 结果表明CPCRLB传感器管理的有效性和优越性. |
| 英文摘要 |
| For target tracking in the sensor networks, a sensor management scheme is proposed based on conditional posterior Cramér-Rao lower bounds (CPCRLB). The measurement in the sensor is the received signal strength (RSS) from the target. The CPCRLB on the mean－squared error of target state estimate is derived based on RSS measurements. The CPCRLB is used as the criterion for activating a set of optimal sensors to involve in the target tracking. The particle filtering is employed to estimate the target state and CPCRLB approximately. The online sensor selection is achieved by particle filtering. The sensor selection schemes based on CPCRLB, unconditional posterior Cramér-Rao lower bounds (PCRLB) and mutual information are compared by simulations. The simulation results demonstrate the efficiency and superiority of the CPCRLB-based sensor management. |