欢迎访问《空军工程大学学报》官方网站!

咨询热线:029-84786242 RSS EMAIL-ALERT
改进模糊综合评价的ESM与雷达航迹关联算法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP274

基金项目:

航空科学基金(20152096019;20145596025)


An ESM-Radar Track Correlation Algorithm Based on Improved Fuzzy Comprehensive Evaluation
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对机动目标贴近和交叉运动影响下的ESM与雷达的航迹关联问题,提出了基于改进的模糊综合评价的航迹关联算法。该算法综合考虑了ESM传感器和雷达在双机协同无源定位中获得的距离、角度、速度、相位差和时间差信息,丰富了模糊因素集;给出了模糊综合评价中的隶属度和权重的动态计算方法,并对评价集和评价准则进行了相应的改进。仿真结果表明,在目标距离200m时,传统的多因素模糊综合决策航迹关联算法的关联正确率为55.2%,航迹关联算法的关联正确率为74.0%。在增大目标距离和雷达探测误差的情况下,算法的关联正确率始终高于传统的多因素模糊综合决策航迹关联算法。

    Abstract:

    In order to solve ESM-radar track correlation problem under condition of the influence on the maneuvering target close and cross, this paper presents a track correlation algorithm based on the improved Fuzzy comprehensive evaluation. In consideration of distance, angle, speed, phase difference and time difference information of the ESM sensor and radar in the cooperative passive location, the algorithm enriches the fuzzy factor set, gives out a dynamic calculation method of membership degree and weight in fuzzy comprehensive evaluation, and correspondingly improves the evaluation set and the evaluation criterion. The simulation results show that when the target is at the distance of 200m, the traditional multi-factor fuzzy integration judgment algorithm’s correlation accuracy is 55.2%, and this paper’s algorithm’s correlation accuracy is 74.0%. Under condition of increasing the target distance and the radar detection error, this algorithm’s correlation accuracy is always higher than that of the traditional multi-factor fuzzy integration judgment algorithm.

    参考文献
    相似文献
    引证文献
引用本文

张肖强,王星,周东青,杜文红,于媛.改进模糊综合评价的ESM与雷达航迹关联算法[J].空军工程大学学报,2017,18(1):44-49

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2017-03-14
  • 出版日期: