The purpose of initial orbit determination,especially in the case of angles-only data for observation,is to obtain an initial estimate that is close enough to the true orbit to enable subsequent precision orbit determ...The purpose of initial orbit determination,especially in the case of angles-only data for observation,is to obtain an initial estimate that is close enough to the true orbit to enable subsequent precision orbit determination processing to be successful.However,the classical angles-only initial orbit determination methods cannot deal with the observation data whose Earth-central angle is larger than 360°.In this paper,an improved double r-iteration initial orbit determination method to deal with the above case is presented to monitor geosynchronous Earth orbit objects for a spacebased surveillance system.Simulation results indicate that the improved double r-iteration method is feasible,and the accuracy of the obtained initial orbit meets the requirements of re-acquiring the object.展开更多
A new restoration algorithm based on double loops and alternant iterations is proposed to restore the object image effectively from a few frames of turbulence-degraded images, Based on the double loops, the iterative ...A new restoration algorithm based on double loops and alternant iterations is proposed to restore the object image effectively from a few frames of turbulence-degraded images, Based on the double loops, the iterative relations for estimating the turbulent point spread function PSF and object image alternately are derived. The restoration experiments have been made on computers, showing that the proposed algorithm can obtain the optimal estimations of the object and the point spread function, with the feasibility and practicality of the proposed algorithm being convincing.展开更多
针对稀疏线阵波达方向估计精度较低问题,提出一种稀疏线阵双迭代傅里叶优化方法。基于阵列孔径原理,利用阵列因子与阵元激励间的傅里叶变换关系,构建稀疏线阵构型优化目标函数;提出双迭代傅里叶变换算法,制定合理的旁瓣阈值和旁瓣约束条...针对稀疏线阵波达方向估计精度较低问题,提出一种稀疏线阵双迭代傅里叶优化方法。基于阵列孔径原理,利用阵列因子与阵元激励间的傅里叶变换关系,构建稀疏线阵构型优化目标函数;提出双迭代傅里叶变换算法,制定合理的旁瓣阈值和旁瓣约束条件,依据稀疏率和阵元数将孔径自适应分区,以阵列峰值旁瓣和孔径为约束,由双层嵌套循环迭代优化阵列麦克风数量和位置,获得更低的阵列峰值旁瓣电平。数值仿真和实验结果表明,根据该方法获得的49.5λ孔径、23%稀疏率的稀疏阵列峰值旁瓣电平为-21.59 dB,主瓣宽度为1.03°,角度分辨率为1°,估计误差小于0.01。与其他方法对比,峰值旁瓣低1 d B,优化效率提升50%,由此可证明该方法的有效性和快速性。展开更多
作为城市能耗的主体,智能楼宇低碳高效运行对实现“双碳”目标有着重要意义。为了增强楼宇经济性并提升楼宇能源共享和分布式能源消纳,提出了一种考虑楼宇特性、电能交易的楼宇群分布式优化调度模型。在楼宇优化层面,建立了以经济性和...作为城市能耗的主体,智能楼宇低碳高效运行对实现“双碳”目标有着重要意义。为了增强楼宇经济性并提升楼宇能源共享和分布式能源消纳,提出了一种考虑楼宇特性、电能交易的楼宇群分布式优化调度模型。在楼宇优化层面,建立了以经济性和温度舒适性需求为目标的楼宇多目标运行优化模型;在楼宇群能源共享层面,建立了端对端(peer to peer,P2P)楼宇交易市场,并提出了结合楼宇优化结果和市场风险的新型连续双向拍卖交易机制。通过将市场交易结果反馈至各楼宇优化层面,实现楼宇运行的迭代优化和楼宇群内能源的互动共享,利用鲁棒优化检验该模型在各类不确定场景中的有效性。仿真结果表明,在多场景中,所提的楼宇群分布式优化调度模型均能在优化楼宇经济性的同时,提升楼宇群能源互补和分布式能源消纳的能力。展开更多
文摘The purpose of initial orbit determination,especially in the case of angles-only data for observation,is to obtain an initial estimate that is close enough to the true orbit to enable subsequent precision orbit determination processing to be successful.However,the classical angles-only initial orbit determination methods cannot deal with the observation data whose Earth-central angle is larger than 360°.In this paper,an improved double r-iteration initial orbit determination method to deal with the above case is presented to monitor geosynchronous Earth orbit objects for a spacebased surveillance system.Simulation results indicate that the improved double r-iteration method is feasible,and the accuracy of the obtained initial orbit meets the requirements of re-acquiring the object.
文摘A new restoration algorithm based on double loops and alternant iterations is proposed to restore the object image effectively from a few frames of turbulence-degraded images, Based on the double loops, the iterative relations for estimating the turbulent point spread function PSF and object image alternately are derived. The restoration experiments have been made on computers, showing that the proposed algorithm can obtain the optimal estimations of the object and the point spread function, with the feasibility and practicality of the proposed algorithm being convincing.
文摘针对稀疏线阵波达方向估计精度较低问题,提出一种稀疏线阵双迭代傅里叶优化方法。基于阵列孔径原理,利用阵列因子与阵元激励间的傅里叶变换关系,构建稀疏线阵构型优化目标函数;提出双迭代傅里叶变换算法,制定合理的旁瓣阈值和旁瓣约束条件,依据稀疏率和阵元数将孔径自适应分区,以阵列峰值旁瓣和孔径为约束,由双层嵌套循环迭代优化阵列麦克风数量和位置,获得更低的阵列峰值旁瓣电平。数值仿真和实验结果表明,根据该方法获得的49.5λ孔径、23%稀疏率的稀疏阵列峰值旁瓣电平为-21.59 dB,主瓣宽度为1.03°,角度分辨率为1°,估计误差小于0.01。与其他方法对比,峰值旁瓣低1 d B,优化效率提升50%,由此可证明该方法的有效性和快速性。
文摘作为城市能耗的主体,智能楼宇低碳高效运行对实现“双碳”目标有着重要意义。为了增强楼宇经济性并提升楼宇能源共享和分布式能源消纳,提出了一种考虑楼宇特性、电能交易的楼宇群分布式优化调度模型。在楼宇优化层面,建立了以经济性和温度舒适性需求为目标的楼宇多目标运行优化模型;在楼宇群能源共享层面,建立了端对端(peer to peer,P2P)楼宇交易市场,并提出了结合楼宇优化结果和市场风险的新型连续双向拍卖交易机制。通过将市场交易结果反馈至各楼宇优化层面,实现楼宇运行的迭代优化和楼宇群内能源的互动共享,利用鲁棒优化检验该模型在各类不确定场景中的有效性。仿真结果表明,在多场景中,所提的楼宇群分布式优化调度模型均能在优化楼宇经济性的同时,提升楼宇群能源互补和分布式能源消纳的能力。
