Directing at evaluation for qualifying rate in weaponry test,this article discusses firstly how field test information is flooded with lots of prior information.Then a fast Bayesian evaluation algorithm is presented b...Directing at evaluation for qualifying rate in weaponry test,this article discusses firstly how field test information is flooded with lots of prior information.Then a fast Bayesian evaluation algorithm is presented based on the elaborate analysis of prior information reliability and the second category of maximum likelihood.The example demonstrates that the algorithm presented in this article is better and more robust compared with classical evaluation algorithm for safe-or-failure test and normal Bayesian method,which can make the best of prior information.展开更多
针对无线传感网络(wireless sensor networks,WSNs)的三维未知定位问题,提出一种基于接收信号强度(received signal strength,RSS)和到达角度(angle of arrival,AoA)的二阶锥规划节点定位(RSS and AoA-based secondorder cone programmi...针对无线传感网络(wireless sensor networks,WSNs)的三维未知定位问题,提出一种基于接收信号强度(received signal strength,RSS)和到达角度(angle of arrival,AoA)的二阶锥规划节点定位(RSS and AoA-based secondorder cone programming target localization,R-S-SOCP)算法。通过接收信号强度和到达角模型,获取距离和角度测量值,引用最大似然(maximum likelihood,ML)估计节点的位置,利用二阶锥规划(second-order cone programming,SOCP)将ML估计转换成SOCP优化问题,利用CVX求解节点位置。实验数据表明,与WANG和SDPRSS算法相比,R-S-SOCP算法定位误差下降近15%至20%。展开更多
节点位置是无线传感网络(Wireless Sensor Networks,WSNs)的关键信息。而给WSNs内所有节点配置全球定位系统(Global Position System,GPS)成本太高。只可能让部分节点配置GPS,这些节点称为锚节点。节点通过获取与锚节点的距离信息实现...节点位置是无线传感网络(Wireless Sensor Networks,WSNs)的关键信息。而给WSNs内所有节点配置全球定位系统(Global Position System,GPS)成本太高。只可能让部分节点配置GPS,这些节点称为锚节点。节点通过获取与锚节点的距离信息实现定位。为此,提出基于到达时间(Time of Arrival,TOA)测距的二阶规划的定位算法(TOA-Second-order Programming-based Localization,TOA-SPL算法)。TOA-SPL算法先测距和测速信息建立基于最大似然的位置估计表达式,再通过分布式二阶锥规划技术求解,降低算法的复杂度。实验数据表明,相比于半定规划的节点定位(Semi-Definite Programming Localization,SDPL)算法,TOA-SPL算法的均方根误差(Root Mean Square Error,RMSE)得到有效控制。展开更多
基金the National Defense Research Foundation of China(No.4010203010401)
文摘Directing at evaluation for qualifying rate in weaponry test,this article discusses firstly how field test information is flooded with lots of prior information.Then a fast Bayesian evaluation algorithm is presented based on the elaborate analysis of prior information reliability and the second category of maximum likelihood.The example demonstrates that the algorithm presented in this article is better and more robust compared with classical evaluation algorithm for safe-or-failure test and normal Bayesian method,which can make the best of prior information.
文摘节点位置是无线传感网络(Wireless Sensor Networks,WSNs)的关键信息。而给WSNs内所有节点配置全球定位系统(Global Position System,GPS)成本太高。只可能让部分节点配置GPS,这些节点称为锚节点。节点通过获取与锚节点的距离信息实现定位。为此,提出基于到达时间(Time of Arrival,TOA)测距的二阶规划的定位算法(TOA-Second-order Programming-based Localization,TOA-SPL算法)。TOA-SPL算法先测距和测速信息建立基于最大似然的位置估计表达式,再通过分布式二阶锥规划技术求解,降低算法的复杂度。实验数据表明,相比于半定规划的节点定位(Semi-Definite Programming Localization,SDPL)算法,TOA-SPL算法的均方根误差(Root Mean Square Error,RMSE)得到有效控制。
