提出一种在低空场景下基于接收信号强度(Rcecived Signal Strength,RSS)与到达角度(Angle of Arrival,AOA)信息融合的单站无源定位算法。该算法采用单架无人机设备虚拟多站设备接收无线电辐射源信号,融合RSS估计的距离信息与AOA方向角信...提出一种在低空场景下基于接收信号强度(Rcecived Signal Strength,RSS)与到达角度(Angle of Arrival,AOA)信息融合的单站无源定位算法。该算法采用单架无人机设备虚拟多站设备接收无线电辐射源信号,融合RSS估计的距离信息与AOA方向角信息,依据最小二乘准则(LS)构造算法的优化目标函数,采用凸松弛技术将目标函数等价为二阶锥规划(SOCP)问题并通过内点法求解。实验结果表明,该算法的定位精度在2 km范围内可达20 m,其定位性能优于单站无源定位算法,且由于采用单架无人机采集信号,其设备复杂度相较于多站无源定位较低。展开更多
In spectrum sharing systems,locating mul-tiple radiation sources can efficiently find out the in-truders,which protects the shared spectrum from ma-licious jamming or other unauthorized usage.Com-pared to single-sourc...In spectrum sharing systems,locating mul-tiple radiation sources can efficiently find out the in-truders,which protects the shared spectrum from ma-licious jamming or other unauthorized usage.Com-pared to single-source localization,simultaneously lo-cating multiple sources is more challenging in prac-tice since the association between measurement pa-rameters and source nodes are not known.More-over,the number of possible measurements-source as-sociations increases exponentially with the number of sensor nodes.It is crucial to discriminate which measurements correspond to the same source before localization.In this work,we propose a central-ized localization scheme to estimate the positions of multiple sources.Firstly,we develop two computa-tionally light methods to handle the unknown RSS-AOA measurements-source association problem.One method utilizes linear coordinate conversion to com-pute the minimum spatial Euclidean distance sum-mation of measurements.Another method exploits the long-short-term memory(LSTM)network to clas-sify the measurement sequences.Then,we propose a weighted least squares(WLS)approach to obtain the closed-form estimation of the positions by linearizing the non-convex localization problem.Numerical re-sults demonstrate that the proposed scheme could gain sufficient localization accuracy under adversarial sce-narios where the sources are in close proximity and the measurement noise is strong.展开更多
As one of the most important part of weapon system of systems(WSoS),quantitative evaluation of reconnaissance satellite system(RSS)is indispensable during its construction and application.Aiming at the problem of nonl...As one of the most important part of weapon system of systems(WSoS),quantitative evaluation of reconnaissance satellite system(RSS)is indispensable during its construction and application.Aiming at the problem of nonlinear effectiveness evaluation under small sample conditions,we propose an evaluation method based on support vector regression(SVR)to effectively address the defects of traditional methods.Considering the performance of SVR is influenced by the penalty factor,kernel type,and other parameters deeply,the improved grey wolf optimizer(IGWO)is employed for parameter optimization.In the proposed IGWO algorithm,the opposition-based learning strategy is adopted to increase the probability of avoiding the local optima,the mutation operator is used to escape from premature convergence and differential convergence factors are applied to increase the rate of convergence.Numerical experiments of 14 test functions validate the applicability of IGWO algorithm dealing with global optimization.The index system and evaluation method are constructed based on the characteristics of RSS.To validate the proposed IGWO-SVR evaluation method,eight benchmark data sets and combat simulation are employed to estimate the evaluation accuracy,convergence performance and computational complexity.According to the experimental results,the proposed method outperforms several prediction based evaluation methods,verifies the superiority and effectiveness in RSS operational effectiveness evaluation.展开更多
为了解决基于蓝牙射频RSS的室内定位算法精度低、实时性差等问题,提出一种融合到达角(Angle of Arrival,AOA)与射频RSS的K近邻指纹定位算法,通过采集NRF51822传感器的射频RSS聚类信号形成定位指纹库,采用KNN欧式最优算法与指纹库进行匹...为了解决基于蓝牙射频RSS的室内定位算法精度低、实时性差等问题,提出一种融合到达角(Angle of Arrival,AOA)与射频RSS的K近邻指纹定位算法,通过采集NRF51822传感器的射频RSS聚类信号形成定位指纹库,采用KNN欧式最优算法与指纹库进行匹配得出近似坐标位置,设计一款小型PCB八木天线模拟定位基站,补偿射频RSS随距离、遮挡等造成的信号接收强度指示(Received Signal Strength Indicator,RSSI)跳变、衰减,通过信标与定位节点的AOA到达角与最优指纹数据的权值归一化换算,得出最终定位坐标。实验结果表明,该算法具有定位精度高、实时性好等优点,具有较高的推广价值。展开更多
控制系统机械液压产品是涡轴涡桨发动机控制指令的重要执行元件,其生产装配完成后需要使用专用试验设备进行性能调试,调试合格后方可装配发动机。由于控制系统机械液压产品结构复杂,调试过程烦琐,对试验操作人员的技术水平要求较高,须...控制系统机械液压产品是涡轴涡桨发动机控制指令的重要执行元件,其生产装配完成后需要使用专用试验设备进行性能调试,调试合格后方可装配发动机。由于控制系统机械液压产品结构复杂,调试过程烦琐,对试验操作人员的技术水平要求较高,须构建一套基于放回取样策略-极端随机树(Return Sampling Strategy-Extreme Random Tree,RSS-ERT)的智能决策系统。通过在调试过程中采集试验数据并根据产品性能反馈调试决策,降低了调试过程对试验操作人员的技术依赖,提高了调试效率。选取某型号燃油调节器进行系统功能验证,结果表明智能决策功能反馈准确,能够满足使用需求。展开更多
Based on a simple description of RSS and the background of its application in the virtual reference system, this paper introduces the application range and the system structure of RSS technology in this system, and an...Based on a simple description of RSS and the background of its application in the virtual reference system, this paper introduces the application range and the system structure of RSS technology in this system, and analyzes its data flow. Finally, the paper uses“My reference desk”as an example to discuss the realization of RSS technology in the virtual reference system.展开更多
文摘提出一种在低空场景下基于接收信号强度(Rcecived Signal Strength,RSS)与到达角度(Angle of Arrival,AOA)信息融合的单站无源定位算法。该算法采用单架无人机设备虚拟多站设备接收无线电辐射源信号,融合RSS估计的距离信息与AOA方向角信息,依据最小二乘准则(LS)构造算法的优化目标函数,采用凸松弛技术将目标函数等价为二阶锥规划(SOCP)问题并通过内点法求解。实验结果表明,该算法的定位精度在2 km范围内可达20 m,其定位性能优于单站无源定位算法,且由于采用单架无人机采集信号,其设备复杂度相较于多站无源定位较低。
基金This work was supported by the National Natu-ral Science Foundation of China(No.U20B2038,No.61901520,No.61871398 and No.61931011),the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province(No.BK20190030),and the National Key R&D Program of China under Grant 2018YFB1801103.
文摘In spectrum sharing systems,locating mul-tiple radiation sources can efficiently find out the in-truders,which protects the shared spectrum from ma-licious jamming or other unauthorized usage.Com-pared to single-source localization,simultaneously lo-cating multiple sources is more challenging in prac-tice since the association between measurement pa-rameters and source nodes are not known.More-over,the number of possible measurements-source as-sociations increases exponentially with the number of sensor nodes.It is crucial to discriminate which measurements correspond to the same source before localization.In this work,we propose a central-ized localization scheme to estimate the positions of multiple sources.Firstly,we develop two computa-tionally light methods to handle the unknown RSS-AOA measurements-source association problem.One method utilizes linear coordinate conversion to com-pute the minimum spatial Euclidean distance sum-mation of measurements.Another method exploits the long-short-term memory(LSTM)network to clas-sify the measurement sequences.Then,we propose a weighted least squares(WLS)approach to obtain the closed-form estimation of the positions by linearizing the non-convex localization problem.Numerical re-sults demonstrate that the proposed scheme could gain sufficient localization accuracy under adversarial sce-narios where the sources are in close proximity and the measurement noise is strong.
基金the National Defense Science and Technology Key Laboratory Fund of China(XM2020XT1023).
文摘As one of the most important part of weapon system of systems(WSoS),quantitative evaluation of reconnaissance satellite system(RSS)is indispensable during its construction and application.Aiming at the problem of nonlinear effectiveness evaluation under small sample conditions,we propose an evaluation method based on support vector regression(SVR)to effectively address the defects of traditional methods.Considering the performance of SVR is influenced by the penalty factor,kernel type,and other parameters deeply,the improved grey wolf optimizer(IGWO)is employed for parameter optimization.In the proposed IGWO algorithm,the opposition-based learning strategy is adopted to increase the probability of avoiding the local optima,the mutation operator is used to escape from premature convergence and differential convergence factors are applied to increase the rate of convergence.Numerical experiments of 14 test functions validate the applicability of IGWO algorithm dealing with global optimization.The index system and evaluation method are constructed based on the characteristics of RSS.To validate the proposed IGWO-SVR evaluation method,eight benchmark data sets and combat simulation are employed to estimate the evaluation accuracy,convergence performance and computational complexity.According to the experimental results,the proposed method outperforms several prediction based evaluation methods,verifies the superiority and effectiveness in RSS operational effectiveness evaluation.
文摘为了解决基于蓝牙射频RSS的室内定位算法精度低、实时性差等问题,提出一种融合到达角(Angle of Arrival,AOA)与射频RSS的K近邻指纹定位算法,通过采集NRF51822传感器的射频RSS聚类信号形成定位指纹库,采用KNN欧式最优算法与指纹库进行匹配得出近似坐标位置,设计一款小型PCB八木天线模拟定位基站,补偿射频RSS随距离、遮挡等造成的信号接收强度指示(Received Signal Strength Indicator,RSSI)跳变、衰减,通过信标与定位节点的AOA到达角与最优指纹数据的权值归一化换算,得出最终定位坐标。实验结果表明,该算法具有定位精度高、实时性好等优点,具有较高的推广价值。
文摘控制系统机械液压产品是涡轴涡桨发动机控制指令的重要执行元件,其生产装配完成后需要使用专用试验设备进行性能调试,调试合格后方可装配发动机。由于控制系统机械液压产品结构复杂,调试过程烦琐,对试验操作人员的技术水平要求较高,须构建一套基于放回取样策略-极端随机树(Return Sampling Strategy-Extreme Random Tree,RSS-ERT)的智能决策系统。通过在调试过程中采集试验数据并根据产品性能反馈调试决策,降低了调试过程对试验操作人员的技术依赖,提高了调试效率。选取某型号燃油调节器进行系统功能验证,结果表明智能决策功能反馈准确,能够满足使用需求。
文摘Based on a simple description of RSS and the background of its application in the virtual reference system, this paper introduces the application range and the system structure of RSS technology in this system, and analyzes its data flow. Finally, the paper uses“My reference desk”as an example to discuss the realization of RSS technology in the virtual reference system.
