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作 者:赵越 李赞[1] 李冰 郝本建[1] ZHAO Yue;LI Zan;LI Bing;HAO Benjian(School of Telecommunications Engineering,Xidian University,Xi’an 710071,China;Unit 31007 of PLA,Beijing 100000,China)
机构地区:[1]西安电子科技大学通信工程学院,陕西西安710071 [2]中国人民解放军31007部队,北京100000
出 处:《通信学报》2023年第1期1-13,共13页Journal on Communications
基 金:国家自然科学基金资助项目(No.62101403);国家杰出青年科学基金资助项目(No.61825104);陕西省科学技术协会青年人才托举计划项目基金资助项目(No.XXJS202229)。
摘 要:以克拉美罗下界(CRLB)作为定位精度衡量指标进行分析,探讨到达时间差(TDoA)定位场景中定位盲区的产生条件,分析不同因素对定位盲区的影响。此外,以无线传感器网络(WSN)所覆盖区域的平均CRLB为目标函数,构建了传感器节点优化部署问题,并提出基于定位盲区预判断的遗传算法进行求解。仿真验证了单信号源定位时CRLB的性质以及定位盲区的产生条件和出现区域。仿真结果表明,采用所提基于定位盲区预判断的遗传算法获得的节点部署方案时,定位精度比均匀角度部署提高33.92%,比区域顶点部署提升13.74%,比直接遗传算法提升9.65%。Regarding the Cramer-Rao lower bound(CRLB) as a localization accuracy metric, the sufficient conditions of the LRA in the time difference of arrival(TDoA)-based localization scenario were discussed and the influence of different factors on the LRA were analyzed. Furthermore, the node placement problem for wireless sensor network(WSN) was investigated by formulating an optimization problem with the objective as average CRLB,which was solved by a genetic algorithm based on LRA pre-judgment. Simulation validates the properties of the CRLB in a single-source scenario and verifies the sufficient condition and the spatial range of the LRA. The simulation also shows that the localization accuracy determined by the proposed algorithm is improved by 33.92% higher than the uniform angle array placement scheme, 13.74% compared to the regional vertex placement scheme, and 9.65% compared to the direct genetic algorithm.
关 键 词:到达时间差 定位盲区 克拉美罗下界 节点部署 无线传感器网络
分 类 号:TN92[电子电信—通信与信息系统]
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