期刊文献+

基于正性约束的测向交叉定位方法 被引量:5

A Positive Restriction Method Used in Crossing Location
下载PDF
导出
摘要 传统的交叉定位方法将波达方向(DOA)的正切值作为斜率,求出信号源的位置坐标的线性最小二乘解。由于正切值存在前向/后向的角度模糊,在DOA测量误差较大的情况下,将引入较大的交叉定位误差。针对该问题,该文提出了一种利用DOA的正弦值和余弦值构建交叉定位方程组的算法,且对信号源与观测站之间的距离参数进行正性约束,避免了DOA前向/后向模糊。仿真结果表明,在DOA测量误差较大的情况下,该方法比传统的交叉定位方法更精确。 Traditional cross-location method uses the tangent of direction of arrival (DOA) as slope to obtain a least square solution by solving a linear equation. Generally, using the tangent of DOA as slope makes the direction indistinct in 180o. If the measurement error of the DOA is low, traditional cross-location method performs well, and the direction indistinct in 180o has little influence on the result of the algorithm. But once we deal with a large measurement error situation, the direction indistinct in 180° will import additional prominent error, which will have big influence on the precision of location. Therefore, this article proposes a new method which uses the sine and cosine of the DOAs to form the cross-location equations, subject to the constraint of the positive distance to find a solution. This method has no direction indistinct in 180° and improves the precision of the location result. The simulation result by the computer verified the fact that the new proposed method has a better location result than the traditional method under large measurement error.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2014年第6期834-837,共4页 Journal of University of Electronic Science and Technology of China
基金 国家自然科学基金(61172140)
关键词 交叉定位 DOA估计 角度模糊 无源定位 正性约束 cross-location DOA estimation indistinct in angle passive location positive restiction
  • 相关文献

参考文献9

  • 1FARINA A. Target tracking with bearings onlymeasurements[J]. Signalprocessing, 1999,78(1): 61-78.
  • 2GAVISH M,WEISS A J. Performance analysis ofbearing-only target location algorithms [J]. IEEE Trans AES,1992, 28(2): 817-827.
  • 3TORRIERI D J. Statistical theory of passive locationsystems[J]. IEEE Trans AES, 1984,20(1): 183-198.
  • 4LECADRE J P, JAUFFRET C. On the convergence ofiterative methods forbearings-only tracking[J]. IEEE TransAES, 1999, 35(3):801-817.
  • 5TAFF L G Target localization from bearings-onlyobservations[J]. IEEE Trans AES, 1997, 33(1): 2-9.
  • 6李立萍,孟静,陈天麒.一种排除无源交叉定位虚假交点的新方法[J].系统工程与电子技术,1999,21(4):20-23. 被引量:36
  • 7KARLSSON R, GUSTAFSSON F. Markov chainMontecarlo data association for multi-target tracking[J].IEEE Trans on Automatic Control, 2009,54(3): 481-497.
  • 8康莉,谢维信,黄敬雄.一种基于蚁群算法的多目标跟踪数据关联方法[J].电子学报,2008,36(3):586-589. 被引量:21
  • 9章飞,周杏鹏,陈小惠.基于幅值信息的联合概率数据关联粒子滤波算法[J].系统工程与电子技术,2011,33(2):453-457. 被引量:11

二级参考文献21

  • 1Sarkka S, Vehtari A, Lampinen J. Rao-Blackwellized particle filter for multiple target tracking [J]. Information Fusion, 2007,8(1) :2 - 15.
  • 2Frank O, Nieto J, Guivant J, et al. Multiple target tracking using sequential Monte Carlo methods and statistical data association[C]// Proc. of IEEE International Conference on Intelligent Robots and Systems, 2003:2718 - 2723.
  • 3ermaak J, Godsill S J, Perez P. Monte Carlo fihering for multi-target tracking and data association[J].IEEE Trans. on Aerospace and Electronic Systems, 2005,41 (1):309 - 332.
  • 4ortmann T E, Bar-Shalom Y, Scheffe M. Sonar tracking of multiple targets using joint probabilistic data association[J]. IEEE Journal of Oceanic Engineering ,1983,8(3) :173 - 184.
  • 5Luginbuhl T E, Giannopoulos E H, Ainsleigh P L. A modified JPDA[C]//Proc. of 9th International Conference on Information Fusion, 2006.
  • 6Puranik S P, Tugnait J K. Tracking of multiple maneuvering targets using muhisean JPDA and IMM filtering[J].IEEE Trans. on Aerospace and Electronic Systems, 2007,43 ( 1 ):23 - 35.
  • 7Tugnait J K. Tracking of multiple maneuvering targets in clutter using multiple sensors, IMM, and JPDA coupled filtering[J].IEEE Trans. on Aerospace and Electronic Systems, 2004,40 ( 1 ) : 320 - 330.
  • 8Song T L. Most probable data association with distance and amplitude information for target tracking in clutter[C]//Proc. of 7th IEEE International Conference on Multi-Sensor Integration and Fusion, 2008:97- 109.
  • 9Kirubarajan T, Bar-Shalom Y. Low observable target motion analysis using amplitude information[J]. IEEE Trans. on Aero space and Electronic Systems, 1996,32(4): 1367 - 1384.
  • 10Lerro D, Bar Shalom Y. Interacting multiple model tracking with target amplitude feature[J]. IEEE Trans. on Aerospace and Electronic Systems, 1993,29(2) :494 - 509.

共引文献64

同被引文献49

引证文献5

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部