A new satellite to satellite passive tracking method using Bearings-Only measurements in Modified Spherical Coordinates(MSC) is proposed.The system dynamics and measurement process are presented in three-dimensional M...A new satellite to satellite passive tracking method using Bearings-Only measurements in Modified Spherical Coordinates(MSC) is proposed.The system dynamics and measurement process are presented in three-dimensional MSC,and then the tracking method is deduced in details based on the Cartesian method.Performance of the new method is validated through computer simulations,which proved that the proposed method is effective in terms of the estimation accuracy and convergence time compared with the Cartesian method no matter the Initial State Errors(ISE) and measurement errors are large or small.展开更多
A new fusion tracking algorithm is presented to track maneuvering target in three-dimensional (3D) space with bearings-only measurements. With the introduction of passive location and interacting multiple model (IMM) ...A new fusion tracking algorithm is presented to track maneuvering target in three-dimensional (3D) space with bearings-only measurements. With the introduction of passive location and interacting multiple model (IMM) algorithm based on multirate model, the high-rate sequence measurements of two sensors are utilized. Simulation results show that the performance of tracking has been improved. The new algorithm removes the barrier of processing high-rate bearings-only measurements.展开更多
Two target motion analysis (TMA) methods using multi-dimension information are studied, one is TMA with bearing-frequency and the other is TMA with multiple arrays. The optimization algorithm combining Gauss-Newton (G...Two target motion analysis (TMA) methods using multi-dimension information are studied, one is TMA with bearing-frequency and the other is TMA with multiple arrays. The optimization algorithm combining Gauss-Newton (G-N) method with Levenberg-Marquardt (L- M) method is applied to analyze the performance of target tracking with maximum likelihood estimation(MLE), and Monte Carlo experiments are presented. The results show that although the TMA with multi-dimension information have eliminated the maneuvers needed by conven- tional bearing-only TMA, but the application are not of universality展开更多
In this paper, a new passive modified iterated extended Kalman filter （MIEKF） using the combined set of beatings and frequency measurements in Earth Centered Inertial （ECI） coordinate is proposed. A new measuremen...In this paper, a new passive modified iterated extended Kalman filter （MIEKF） using the combined set of beatings and frequency measurements in Earth Centered Inertial （ECI） coordinate is proposed. A new measurement update equation of MIEKF is derived by modifying the objective function of the Gauss-Newton iteration. A new gain equation and iteration termination criteria are acquired by applying the property of the maximum likelihood estimate. The approximated second order linearized state propagation equation, Jacobian matrix of state transfer and measurement equations are derived in satellite two-body movement. The tracking performances of MIEKF, iterated extended Kalman filter （IEKF） and extended Kalman filter （EKF） are compared via Monte Carlo simulations through simulated data from STK8.1. Simulation results indicate that the proposed MIEKF is possible to passively track low earth circular orbit satellite by a high earth orbit satellite, and has higher tracking precision than the IEKF and EKF.展开更多
针对杂波(虚假量测)环境下的目标无源跟踪问题进行了研究,并给出了只测角情况下相应的跟踪算法。该算法在利用修正增益扩展卡尔曼滤波(modified gain extended Kalman filter,MGEKF)对目标进行无源纯方位跟踪的同时,通过建立波门对不同...针对杂波(虚假量测)环境下的目标无源跟踪问题进行了研究,并给出了只测角情况下相应的跟踪算法。该算法在利用修正增益扩展卡尔曼滤波(modified gain extended Kalman filter,MGEKF)对目标进行无源纯方位跟踪的同时,通过建立波门对不同时刻的测量数据进行选择,然后利用角度测量数据计算落入波门内的有效测量数据的概率(包括波门内所有有效量测均为虚假量测的概率和第i个有效回波是正确的概率),并以这些概率值作为权值对目标状态进行加权融合,实现杂波环境下对目标的实时纯方位无源跟踪。同时,仿真分析对文中所提算法的可行性和有效性进行了验证。展开更多
文摘A new satellite to satellite passive tracking method using Bearings-Only measurements in Modified Spherical Coordinates(MSC) is proposed.The system dynamics and measurement process are presented in three-dimensional MSC,and then the tracking method is deduced in details based on the Cartesian method.Performance of the new method is validated through computer simulations,which proved that the proposed method is effective in terms of the estimation accuracy and convergence time compared with the Cartesian method no matter the Initial State Errors(ISE) and measurement errors are large or small.
文摘A new fusion tracking algorithm is presented to track maneuvering target in three-dimensional (3D) space with bearings-only measurements. With the introduction of passive location and interacting multiple model (IMM) algorithm based on multirate model, the high-rate sequence measurements of two sensors are utilized. Simulation results show that the performance of tracking has been improved. The new algorithm removes the barrier of processing high-rate bearings-only measurements.
文摘Two target motion analysis (TMA) methods using multi-dimension information are studied, one is TMA with bearing-frequency and the other is TMA with multiple arrays. The optimization algorithm combining Gauss-Newton (G-N) method with Levenberg-Marquardt (L- M) method is applied to analyze the performance of target tracking with maximum likelihood estimation(MLE), and Monte Carlo experiments are presented. The results show that although the TMA with multi-dimension information have eliminated the maneuvers needed by conven- tional bearing-only TMA, but the application are not of universality
基金partly supported by the National Natural Science Foundation of China(No.61104196)the China Specialized Research Fund for the Doctoral Program of Higher Education(No.200802881017)+1 种基金Nanjing University of Science and Technology Research Funding(No.2010ZYTS051)the 'Zijin star' Research Funding(No.AB41381)
文摘In this paper, a new passive modified iterated extended Kalman filter （MIEKF） using the combined set of beatings and frequency measurements in Earth Centered Inertial （ECI） coordinate is proposed. A new measurement update equation of MIEKF is derived by modifying the objective function of the Gauss-Newton iteration. A new gain equation and iteration termination criteria are acquired by applying the property of the maximum likelihood estimate. The approximated second order linearized state propagation equation, Jacobian matrix of state transfer and measurement equations are derived in satellite two-body movement. The tracking performances of MIEKF, iterated extended Kalman filter （IEKF） and extended Kalman filter （EKF） are compared via Monte Carlo simulations through simulated data from STK8.1. Simulation results indicate that the proposed MIEKF is possible to passively track low earth circular orbit satellite by a high earth orbit satellite, and has higher tracking precision than the IEKF and EKF.
文摘针对杂波(虚假量测)环境下的目标无源跟踪问题进行了研究,并给出了只测角情况下相应的跟踪算法。该算法在利用修正增益扩展卡尔曼滤波(modified gain extended Kalman filter,MGEKF)对目标进行无源纯方位跟踪的同时,通过建立波门对不同时刻的测量数据进行选择,然后利用角度测量数据计算落入波门内的有效测量数据的概率(包括波门内所有有效量测均为虚假量测的概率和第i个有效回波是正确的概率),并以这些概率值作为权值对目标状态进行加权融合,实现杂波环境下对目标的实时纯方位无源跟踪。同时,仿真分析对文中所提算法的可行性和有效性进行了验证。
