为解决多平台协同外辐射源无源定位问题,提出了基于到达角(Angle of Arrival,AOA)与到达时间差(Time Difference of Arrival,TDOA)的闭合形式定位解算法。在保持两阶段定位闭合形式算法框架不变的前提下,所提算法不仅考虑了AOA与TDOA观...为解决多平台协同外辐射源无源定位问题,提出了基于到达角(Angle of Arrival,AOA)与到达时间差(Time Difference of Arrival,TDOA)的闭合形式定位解算法。在保持两阶段定位闭合形式算法框架不变的前提下,所提算法不仅考虑了AOA与TDOA观测噪声对定位造成的不利影响,同时还缓解了传感器位置不确定引起的定位精度恶化问题。数值仿真结果验证了所提算法的高精度定位性能。展开更多
在利用传统Chan算法进行目标节点位置估算的基础上,提出了一种结合最陡下降算法SDA(Steepest Descent Algorithm)的TDOA(Time Difference of Arrival)/AOA(Angle of Arrival)融合算法,通过迭代消除由NLOS(Non Line of Sight)误差引起的...在利用传统Chan算法进行目标节点位置估算的基础上,提出了一种结合最陡下降算法SDA(Steepest Descent Algorithm)的TDOA(Time Difference of Arrival)/AOA(Angle of Arrival)融合算法,通过迭代消除由NLOS(Non Line of Sight)误差引起的误差因子,达到有效提高定位精度的目的.实验结果表明:本文提出的结合SDA的TDOA/AOA融合算法在复杂的室内环境下可以有效提高定位精度和定位稳定性,相对于传统的基于Chan算法的TDOA/AOA定位算法,定位精度提高28%.展开更多
In this paper,we consider the double-satellite localization under the earth ellipsoid model of the Wideband Geodetic System(WGS-84)using the Time Difference of Arrival(TDOA)and the Angle-of-Arrival(AOA).Several closed...In this paper,we consider the double-satellite localization under the earth ellipsoid model of the Wideband Geodetic System(WGS-84)using the Time Difference of Arrival(TDOA)and the Angle-of-Arrival(AOA).Several closed-form solution algorithms via the pseudolinearization of the measurement equations are presented to efficiently estimate the location.These algorithms include the Weighted Least Squares(WLS),the Constrained Total Least Squares(CTLS),and the Taylor-Series Iteration(TSI).Performance comparison of the proposed methods with the Cramér-Rao Lower Bound(CRLB)in the simulation is shown to demonstrate that the proposed algorithms are feasible and have stable performance.展开更多
文摘为解决多平台协同外辐射源无源定位问题,提出了基于到达角(Angle of Arrival,AOA)与到达时间差(Time Difference of Arrival,TDOA)的闭合形式定位解算法。在保持两阶段定位闭合形式算法框架不变的前提下,所提算法不仅考虑了AOA与TDOA观测噪声对定位造成的不利影响,同时还缓解了传感器位置不确定引起的定位精度恶化问题。数值仿真结果验证了所提算法的高精度定位性能。
文摘在利用传统Chan算法进行目标节点位置估算的基础上,提出了一种结合最陡下降算法SDA(Steepest Descent Algorithm)的TDOA(Time Difference of Arrival)/AOA(Angle of Arrival)融合算法,通过迭代消除由NLOS(Non Line of Sight)误差引起的误差因子,达到有效提高定位精度的目的.实验结果表明:本文提出的结合SDA的TDOA/AOA融合算法在复杂的室内环境下可以有效提高定位精度和定位稳定性,相对于传统的基于Chan算法的TDOA/AOA定位算法,定位精度提高28%.
基金supported by Meteorological information and Signal Processing Key Laboratory of Sichuan Higher Education Institutes of Chengdu University of Information Technology,China(No.QXXCSYS201702)
文摘In this paper,we consider the double-satellite localization under the earth ellipsoid model of the Wideband Geodetic System(WGS-84)using the Time Difference of Arrival(TDOA)and the Angle-of-Arrival(AOA).Several closed-form solution algorithms via the pseudolinearization of the measurement equations are presented to efficiently estimate the location.These algorithms include the Weighted Least Squares(WLS),the Constrained Total Least Squares(CTLS),and the Taylor-Series Iteration(TSI).Performance comparison of the proposed methods with the Cramér-Rao Lower Bound(CRLB)in the simulation is shown to demonstrate that the proposed algorithms are feasible and have stable performance.
