北京航空航天大学学报 ›› 2014, Vol. 40 ›› Issue (12): 1707-1712.doi: 10.13700/j.bh.1001-5965.2013.0768

• 论文 • 上一篇    下一篇

网络瞄准中的异步传感器空间配准算法

雍霄驹, 方洋旺, 张登福, 刁兴华   

  1. 空军工程大学 航空航天工程学院, 西安 710038
  • 收稿日期:2014-01-14 出版日期:2014-12-20 发布日期:2014-12-30
  • 作者简介:雍霄驹(1987-),男,江苏南京人,博士生,yongxiaoju1987@126.com.

Algorithm of asynchronous sensors bias estimation in networked targeting

Yong Xiaoju, Fang Yangwang, Zhang Dengfu, Diao Xinghua   

  1. Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
  • Received:2014-01-14 Online:2014-12-20 Published:2014-12-30

摘要:

针对现有异步空间配准算法在目标机动时无法准确估计传感器系统误差的问题,研究了一种基于内插外推时间配准的异步传感器空间配准算法.该算法首先采用内插外推时间配准算法实现两传感器的数据同步,随后根据时间配准结果构建伪量测方程.不同于其他文献根据目标状态向量和时间差求解加权系数,从而构造与目标运动状态无关的伪量测方程的方法,该算法的伪量测方程构建过程与目标状态向量无关,且可以证明由时间配准结果构造的伪量测也与目标状态无关.因此该算法可有效解决目标机动条件下的异步传感器空间配准问题.仿真实验验证了该算法在目标作蛇形机动的条件下仍然可准确地对传感器的系统误差进行估计.

关键词: 异步传感器, 空间配准, 机动目标, 数据融合, 网络瞄准

Abstract:

Aimed at the problem that the algorithm of asynchronous sensors bias estimation cannot adapt to the maneuver targets, a novel algorithm based on the interpolation was researched. Firstly, the measurement was changed into synchronization data by using the time registration method. Then, the pseudo measurement equation could be obtained according to the time registration results. Be different from other algorithms of which the pseudo measurement, independent of target state, is obtained by getting a adding coefficient according to the target state vector and time of arrival (TOA), the depseudo measurement deigned has no relationship to the target state vector. Moreover, the derivation of the pseudo measurement according to the time registration results is also independent of the movement of target. So, the problem of asynchronous sensors bias estimation with maneuver targets can be solved by the algorithm proposed. The results of simulation show that the sensor bias could be exactly estimated when the target takes a snake maneuver.

Key words: asynchronous sensors, spatial registration, maneuver targets, data fusion, networked targeting

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