For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang For ...For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang-bang evasive maneuver with a random switching time.Combined Fast multiple model adaptive estimation(Fast MMAE)algorithm,the cooperative guidance law takes detection configuration affecting the accuracy of interception into consideration.Introduced the detection error model related to the line-of-sight(LOS)separation angle of two interceptors,an optimal cooperative guidance law solving the optimization problem is designed to modulate the LOS separation angle to reduce the estimation error and improve the interception performance.Due to the uncertainty of the target bang-bang maneuver switching time and the effective fitting of its multi-modal motion,Fast MMAE is introduced to identify its maneuver switching time and estimate the acceleration of the target to track and intercept the target accurately.The designed cooperative optimal guidance law with Fast MMAE has better estimation ability and interception performance than the traditional guidance law and estimation method via Monte Carlo simulation.展开更多
In order to save energy consumption of two-way amplifier forward(AF) relaying with channel estimation error, an energy efficiency enhancement scheme is proposed in this work. Firstly, through the analysis of two-way A...In order to save energy consumption of two-way amplifier forward(AF) relaying with channel estimation error, an energy efficiency enhancement scheme is proposed in this work. Firstly, through the analysis of two-way AF relaying mode with channel estimation error, the resultant instantaneous SNRs at end nodes is obtained. Then, by using a high SNR approximation, outage possibility is acquired and its simple closed-form expression is represented. Specially, for using the energy resource more efficiently, a low-complexity power allocation and transmission mode selection policy is proposed to enhance the energy efficiency of two-way AF relay system. Finally, relay priority region is identified in which cooperative diversity energy gain can be achieved. The computer simulations are presented to verify our analytical results, indicating that the proposed policy outperforms direct transmission by an energy gain of 3 dB at the relative channel estimation error less than 0.001. The results also show that the two-way AF relaying transmission loses the two-way AF relaying transmission loses its superiority to direct transmission in terms of energy efficiency when channel estimation error reaches 0.03.展开更多
Analyzed the relation between time delay difference and time delay estimation errors, based on the principles of three-point locating, a reformed threshold method for time delay difference estimation of impulse signal...Analyzed the relation between time delay difference and time delay estimation errors, based on the principles of three-point locating, a reformed threshold method for time delay difference estimation of impulse signals, called as amendment estimation for short, is developed by introducing channel equalization technique to its conventional version, named as direct estimation in this paper, to improve the estimation stability. After inherent relationship between time delay and phase shift of signals is analyzed, an integer period error compensation method utilized the diversities of both contribution share and contribution mode of concerned estimates is proposed under the condition of high precision phase lag estimation. Finally, a cooperative multi-threshold estimation method composed of amendment and direct estimations to process impulse signals with three thresholds is established. In sea trials data tests of passive locating, this method improves the estimation precision of time delay difference efficiently. The experiments verify the theoretical predictions.展开更多
The concept of connected vehicles is with great potentials for enhancing the road transportation systems in the future. To support the functions and applications under the connected vehicles frame, the estimation of d...The concept of connected vehicles is with great potentials for enhancing the road transportation systems in the future. To support the functions and applications under the connected vehicles frame, the estimation of dynamic states of the vehicles under the cooperative environments is a fundamental issue. By integrating multiple sensors, localization modules in OBUs(on-board units) require effective estimation solutions to cope with various operation conditions. Based on the filtering estimation framework for sensor fusion, an ensemble Kalman filter(En KF) is introduced to estimate the vehicle's state with observations from navigation satellites and neighborhood vehicles, and the original En KF solution is improved by using the cubature transformation to fulfill the requirements of the nonlinearity approximation capability, where the conventional ensemble analysis operation in En KF is modified to enhance the estimation performance without increasing the computational burden significantly. Simulation results from a nonlinear case and the cooperative vehicle localization scenario illustrate the capability of the proposed filter, which is crucial to realize the active safety of connected vehicles in future intelligent transportation.展开更多
相对位置感知作为协同导航的核心也是车辆智能驾驶的关键技术,在车辆自组网(Vehicular Ad Hoc Networks,VANET)协同定位算法中具有重要作用。然而限于系统非线性及有色噪声干扰,相同硬件平台下的相对位置后验信息获取通常局限于一定精...相对位置感知作为协同导航的核心也是车辆智能驾驶的关键技术,在车辆自组网(Vehicular Ad Hoc Networks,VANET)协同定位算法中具有重要作用。然而限于系统非线性及有色噪声干扰,相同硬件平台下的相对位置后验信息获取通常局限于一定精度。针对上述问题,基于抗差理论提出一种Huber M估计的鲁棒容积滤波(Robust Cubature Kalman Filtering,RCKF)车辆相对位置估计算法。该算法通过结合容积法则进行非线性更新,将量测方程转换为观测量和状态预测的线性回归问题后利用M估计实现求解,通过Huber损失函数降低受干扰量测值权重实现估计性能调整。紧组合车辆相对位置估计的实验表明,与容积滤波(Cubature Kalman Filter,CKF)相比,RCKF估计结果在均方根上改善23.59%,在准确度上改善21.81%,在精度上改善27.39%,有效提高了相对位置估计精确性和鲁棒性,为车辆协同定位解决方案提供一种可供参考的系统质量控制策略。展开更多
针对电池电气特性与热特性之间复杂的耦合关系、温度对电池功率性能的影响以及荷电状态(state of charge,SOC)、温度状态(stateoftemperature,SOT)与峰值功率状态(state of power,SOP)之间的复杂关联等问题,该文提出一种考虑电热耦合特...针对电池电气特性与热特性之间复杂的耦合关系、温度对电池功率性能的影响以及荷电状态(state of charge,SOC)、温度状态(stateoftemperature,SOT)与峰值功率状态(state of power,SOP)之间的复杂关联等问题,该文提出一种考虑电热耦合特性的电池模组多状态协同估计方法。首先,分析电池电气特性与热特性之间的耦合关系,将分数阶等效电路模型与集总参数双态热模型结合,构建电池模组电热耦合模型。其次,针对电热耦合关系需要准确的SOC与SOT来维持的问题,采用自适应扩展卡尔曼算法(adaptive extended Kalman filter,AEKF)实现电池模组SOC与SOT估计。最后,分析不同状态之间的关联特性,将电池的SOC、SOT引入到多约束条件下的峰值SOP估计中,实现电池模组多状态协同估计,提高电池状态估计的准确性。仿真结果表明,所提方法在SOC初始误差为20%情况下,能够快速收敛至真实值,且均方根误差在0.52%以内,核心温度与表面温度估计误差分别在0.36和0.31℃以内。在40℃时,核心温度约束起作用,峰值功率估计结果显著降低,为动力电池的实时安全监控提供了有力保障。展开更多
针对三维空间中多航天器协同捕获机动目标问题,提出一种具有终端角度约束和时间一致性约束的设定时间协同制导律,将视线(Line-of-sight,LOS)角误差和齐射攻击的收敛时间作为一个可提前设定的参数,实现对收敛时间进行设置.构建三维场景...针对三维空间中多航天器协同捕获机动目标问题,提出一种具有终端角度约束和时间一致性约束的设定时间协同制导律,将视线(Line-of-sight,LOS)角误差和齐射攻击的收敛时间作为一个可提前设定的参数,实现对收敛时间进行设置.构建三维场景航天器−目标运动学模型,在沿视线方向将同时攻击问题转化为一致性问题,提出一种分布式协同制导律,设定时间内使得多个航天器剩余飞行时间相等;在垂直视线方向利用滑模控制方法对制导律进行设计,使得每个航天器的视线角在设定时间内达到期望值.上述制导律中,设计了一种设定时间扩展状态观测器(Predefined-time extended state observer,PTESO)对未知的目标加速度进行估计.数值仿真结果验证了方法的有效性.展开更多
超宽带(Ultra-Wideband,UWB)技术能获得比现有无线定位技术更高的测距定位精度.本文主要讨论UWB定位技术的研究和应用,包括TOA/TDOA(Time/Time Difference of Arrival)等UWB定位方法、多径时延估计理论、非视距定位和协作式定位、多带OF...超宽带(Ultra-Wideband,UWB)技术能获得比现有无线定位技术更高的测距定位精度.本文主要讨论UWB定位技术的研究和应用,包括TOA/TDOA(Time/Time Difference of Arrival)等UWB定位方法、多径时延估计理论、非视距定位和协作式定位、多带OFDM(Orthogonal Frequency Division Multiplexing)定位和其他超宽带信号定位方式等方面,对其发展历程和现状进行了充分的叙述和分析,最后指出了仍存在的问题和值得进一步探讨的方向.展开更多
基金This work was supported by the National Natural Science Foundation(NNSF)of China under grant no.61673386,62073335the China Postdoctoral Science Foundation(2017M613201,2019T120944).
文摘For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang For the case that two pursuers intercept an evasive target,the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target,which performs a bang-bang evasive maneuver with a random switching time.Combined Fast multiple model adaptive estimation(Fast MMAE)algorithm,the cooperative guidance law takes detection configuration affecting the accuracy of interception into consideration.Introduced the detection error model related to the line-of-sight(LOS)separation angle of two interceptors,an optimal cooperative guidance law solving the optimization problem is designed to modulate the LOS separation angle to reduce the estimation error and improve the interception performance.Due to the uncertainty of the target bang-bang maneuver switching time and the effective fitting of its multi-modal motion,Fast MMAE is introduced to identify its maneuver switching time and estimate the acceleration of the target to track and intercept the target accurately.The designed cooperative optimal guidance law with Fast MMAE has better estimation ability and interception performance than the traditional guidance law and estimation method via Monte Carlo simulation.
基金Project(IRT0852) supported by the Program for Changjiang Scholars and Innovative Research Team in University,ChinaProject(2012CB316100) supported by the National Basic Research Program of China+2 种基金Projects(61101144,61101145) supported by the National Natural Science Foundation of ChinaProject(B08038) supported by the "111" Project,ChinaProject(K50510010017) supported by the Fundamental Research Funds for the Central Universities,China
文摘In order to save energy consumption of two-way amplifier forward(AF) relaying with channel estimation error, an energy efficiency enhancement scheme is proposed in this work. Firstly, through the analysis of two-way AF relaying mode with channel estimation error, the resultant instantaneous SNRs at end nodes is obtained. Then, by using a high SNR approximation, outage possibility is acquired and its simple closed-form expression is represented. Specially, for using the energy resource more efficiently, a low-complexity power allocation and transmission mode selection policy is proposed to enhance the energy efficiency of two-way AF relay system. Finally, relay priority region is identified in which cooperative diversity energy gain can be achieved. The computer simulations are presented to verify our analytical results, indicating that the proposed policy outperforms direct transmission by an energy gain of 3 dB at the relative channel estimation error less than 0.001. The results also show that the two-way AF relaying transmission loses the two-way AF relaying transmission loses its superiority to direct transmission in terms of energy efficiency when channel estimation error reaches 0.03.
文摘Analyzed the relation between time delay difference and time delay estimation errors, based on the principles of three-point locating, a reformed threshold method for time delay difference estimation of impulse signals, called as amendment estimation for short, is developed by introducing channel equalization technique to its conventional version, named as direct estimation in this paper, to improve the estimation stability. After inherent relationship between time delay and phase shift of signals is analyzed, an integer period error compensation method utilized the diversities of both contribution share and contribution mode of concerned estimates is proposed under the condition of high precision phase lag estimation. Finally, a cooperative multi-threshold estimation method composed of amendment and direct estimations to process impulse signals with three thresholds is established. In sea trials data tests of passive locating, this method improves the estimation precision of time delay difference efficiently. The experiments verify the theoretical predictions.
基金Project(4144081)supported by Beijing Natural Science Foundation,ChinaProjects(61403021,U1334211,61490705)supported by the National Natural Science Foundation of China+1 种基金Project(2015RC015)supported by the Fundamental Research Funds for Central Universities,ChinaProject supported by the Foundation of Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control,China
文摘The concept of connected vehicles is with great potentials for enhancing the road transportation systems in the future. To support the functions and applications under the connected vehicles frame, the estimation of dynamic states of the vehicles under the cooperative environments is a fundamental issue. By integrating multiple sensors, localization modules in OBUs(on-board units) require effective estimation solutions to cope with various operation conditions. Based on the filtering estimation framework for sensor fusion, an ensemble Kalman filter(En KF) is introduced to estimate the vehicle's state with observations from navigation satellites and neighborhood vehicles, and the original En KF solution is improved by using the cubature transformation to fulfill the requirements of the nonlinearity approximation capability, where the conventional ensemble analysis operation in En KF is modified to enhance the estimation performance without increasing the computational burden significantly. Simulation results from a nonlinear case and the cooperative vehicle localization scenario illustrate the capability of the proposed filter, which is crucial to realize the active safety of connected vehicles in future intelligent transportation.
文摘相对位置感知作为协同导航的核心也是车辆智能驾驶的关键技术,在车辆自组网(Vehicular Ad Hoc Networks,VANET)协同定位算法中具有重要作用。然而限于系统非线性及有色噪声干扰,相同硬件平台下的相对位置后验信息获取通常局限于一定精度。针对上述问题,基于抗差理论提出一种Huber M估计的鲁棒容积滤波(Robust Cubature Kalman Filtering,RCKF)车辆相对位置估计算法。该算法通过结合容积法则进行非线性更新,将量测方程转换为观测量和状态预测的线性回归问题后利用M估计实现求解,通过Huber损失函数降低受干扰量测值权重实现估计性能调整。紧组合车辆相对位置估计的实验表明,与容积滤波(Cubature Kalman Filter,CKF)相比,RCKF估计结果在均方根上改善23.59%,在准确度上改善21.81%,在精度上改善27.39%,有效提高了相对位置估计精确性和鲁棒性,为车辆协同定位解决方案提供一种可供参考的系统质量控制策略。
文摘针对电池电气特性与热特性之间复杂的耦合关系、温度对电池功率性能的影响以及荷电状态(state of charge,SOC)、温度状态(stateoftemperature,SOT)与峰值功率状态(state of power,SOP)之间的复杂关联等问题,该文提出一种考虑电热耦合特性的电池模组多状态协同估计方法。首先,分析电池电气特性与热特性之间的耦合关系,将分数阶等效电路模型与集总参数双态热模型结合,构建电池模组电热耦合模型。其次,针对电热耦合关系需要准确的SOC与SOT来维持的问题,采用自适应扩展卡尔曼算法(adaptive extended Kalman filter,AEKF)实现电池模组SOC与SOT估计。最后,分析不同状态之间的关联特性,将电池的SOC、SOT引入到多约束条件下的峰值SOP估计中,实现电池模组多状态协同估计,提高电池状态估计的准确性。仿真结果表明,所提方法在SOC初始误差为20%情况下,能够快速收敛至真实值,且均方根误差在0.52%以内,核心温度与表面温度估计误差分别在0.36和0.31℃以内。在40℃时,核心温度约束起作用,峰值功率估计结果显著降低,为动力电池的实时安全监控提供了有力保障。
文摘针对三维空间中多航天器协同捕获机动目标问题,提出一种具有终端角度约束和时间一致性约束的设定时间协同制导律,将视线(Line-of-sight,LOS)角误差和齐射攻击的收敛时间作为一个可提前设定的参数,实现对收敛时间进行设置.构建三维场景航天器−目标运动学模型,在沿视线方向将同时攻击问题转化为一致性问题,提出一种分布式协同制导律,设定时间内使得多个航天器剩余飞行时间相等;在垂直视线方向利用滑模控制方法对制导律进行设计,使得每个航天器的视线角在设定时间内达到期望值.上述制导律中,设计了一种设定时间扩展状态观测器(Predefined-time extended state observer,PTESO)对未知的目标加速度进行估计.数值仿真结果验证了方法的有效性.
文摘超宽带(Ultra-Wideband,UWB)技术能获得比现有无线定位技术更高的测距定位精度.本文主要讨论UWB定位技术的研究和应用,包括TOA/TDOA(Time/Time Difference of Arrival)等UWB定位方法、多径时延估计理论、非视距定位和协作式定位、多带OFDM(Orthogonal Frequency Division Multiplexing)定位和其他超宽带信号定位方式等方面,对其发展历程和现状进行了充分的叙述和分析,最后指出了仍存在的问题和值得进一步探讨的方向.
