期刊文献+

双平台交叉定位去除虚假点方法研究 被引量:7

Study on Eliminating False Intersection Points in Two Platform Cross Location
下载PDF
导出
摘要 针对测向交叉定位方法在多辐射目标源的情况下存在的虚假定位,提出了一种去除虚假点的新方法——结合时差去除法。该方法通过计算双平台间测量数据的相近度来进行最优匹配,去除虚假定位。该方法无需先验信息,只需两个测量平台,降低了平台间数据传输和时间同步的复杂性。仿真结果表明,该方法运算速度快,对水平编队目标群定位精度高。 The cross location based on direction measurement has some advantages, but there is a problem of false location in the case of multiple targets. In this paper, a new method of eliminating the false location based on direction of arrival (DOA) and time difference of arrival (TDOA) is presented. This method eliminates the false points through finding the best pertinence measurement pairs, needs no any prior knowledge and decreases the complexity of data transmission and time synch between the two platforms. The simulation results show the proposed method has high computing efficient and high accuracy especially for the parallel formation flying target.
出处 《航空电子技术》 2004年第4期29-32,38,共5页 Avionics Technology
基金 国家自然科学基金(60375008)资助项目
关键词 测向交叉定位 数据关联 假定位 时差 cross location data association false points TDOA
  • 相关文献

参考文献6

  • 1Torriei Don J. Statistical Theory of Passive Location Systems[J]. IEEE Trans. on AES, 1984, 20 (2): 183-198.
  • 2Semnath Deb, Pattipati K R, Shalom Ybar, et al. Assignment Algorithms for the Passive Sensor Data Association Problem.SPIE, 1989: 1096.
  • 3Gardner W A, Brown W A, Chen C K. Spectral Correlation of Modulated Signal[J]. IEEE Trans. on Com. 1987, 35 (1): 595-601.
  • 4Bertsekas D P, Castanon D A. The Auction Algorithm for the Transportation Problem[C]. Annals Operat Res. 1989,20:67-96.
  • 5Pattiapti K R, S Deb, Shalom Y. Bar, et al. A new relaxation Algorithm and Passive Sensor Data Association[J]. IEEE Trans.1992, AC-2 (37): 198-213.
  • 6Shams S. Neural Network Optimization for Multi-Target Multi-Sensor Passive Tracking[C]. IEEE Proc. 1996,84 (10): 1442-1457.

同被引文献37

引证文献7

二级引证文献6

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