Modern Defense Technology ›› 2022, Vol. 50 ›› Issue (5): 68-76.DOI: 10.3969/j.issn.1009-086x.2022.05.010

• TARGET CHARACTERISTIC, DETECTION AND TRACKING TECHNOLOGY • Previous Articles     Next Articles

Study on Association Method Based on Two-Dimensional Angle Measurement Data

Bin JIN1, Shu-man WANG1, Yun-he ZHAI2, lin-feng LI2   

  1. 1.Naval Research Academy, Beijing 100161, China
    2.Beijing Institute of Electronic System Engineering, Beijing 100854, China
  • Received:2022-05-10 Revised:2022-08-31 Online:2022-10-28 Published:2022-11-03

基于二维角度测量数据的目标关联方法研究

金斌1, 王书满1, 翟云贺2, 李林峰2   

  1. 1.海军研究院,北京 100161
    2.北京电子工程总体研究所,北京 100854
  • 作者简介:金斌(1968-),男,安徽合肥人。工程师,博士生,研究方向为装备管理 。

Abstract:

When the target information source is disturbed or the target is detected by passive cross-directional localization, only two-dimensional angle information exists in the single source target measurement data, so the problem of multi-source measurement data association must be solved. Aiming at the problem that the accuracy of association base on residual data association methods is limited, an association method based on angle deviation and distance variance over a period of time is proposed. The data is preliminarily correlated through the deviation of line of sight angle, and confirmed the association through the distance variance over a period of time based on the initial correlation results. The method can improve the accuracy of target data association and ensure the amount of calculation will not be too large, improve the association efficiency of two-dimensional information target data.

Key words: data association, two-dimensional, angle measurement, data distance variance, deviation of line of sight angle

摘要:

目标信息源被干扰或采用被动交叉测向定位方式探测目标时,单源目标测量数据仅存在二维角度信息,因此,多源测量数据间的关联是必须解决的问题。针对不同基于数据误差的关联方法关联正确率有限的问题,提出基于测角误差和连续时间内距离偏差统计值的目标数据关联方法。根据目标测量数据视线角偏差对数据进行初关联,基于初关联结果通过连续时间内距离方差的计算结果对目标数据进行关联确认。该方法既可提升目标数据关联的正确率又能保证关联过程的计算量不会过大,提升二维信息目标数据的关联效率。

关键词: 数据关联, 二维, 测角信息, 距离方差, 视线角偏差

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