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一种多元信息辅助的双基地雷达检测跟踪一体化方法

严俊坤 王颖萍 吕进东 邓晓波 刘宏伟

严俊坤, 王颖萍, 吕进东, 邓晓波, 刘宏伟. 一种多元信息辅助的双基地雷达检测跟踪一体化方法[J]. 电子与信息学报, 2023, 45(4): 1236-1242. doi: 10.11999/JEIT220261
引用本文: 严俊坤, 王颖萍, 吕进东, 邓晓波, 刘宏伟. 一种多元信息辅助的双基地雷达检测跟踪一体化方法[J]. 电子与信息学报, 2023, 45(4): 1236-1242. doi: 10.11999/JEIT220261
YAN Junkun, WANG Yingping, LÜ Jindong, DENG Xiaobo, LIU Hongwei. An Integrated Detection and Tracking Algorithm Assisted by Multi-information for Bistatic Radar[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1236-1242. doi: 10.11999/JEIT220261
Citation: YAN Junkun, WANG Yingping, LÜ Jindong, DENG Xiaobo, LIU Hongwei. An Integrated Detection and Tracking Algorithm Assisted by Multi-information for Bistatic Radar[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1236-1242. doi: 10.11999/JEIT220261

一种多元信息辅助的双基地雷达检测跟踪一体化方法

doi: 10.11999/JEIT220261
基金项目: 国家自然科学基金(62071345),陕西省自然科学基金(2020JQ-297),中国航空科学基金(201920081002)
详细信息
    作者简介:

    严俊坤:男,教授,博士,博士生导师,研究方向为单站雷达智能信号处理、网络化雷达协同探测等

    王颖萍:女,硕士生,研究方向为信号与信息处理

    吕进东:男,硕士,研究方向为信号与信息处理

    邓晓波:男,博士,研究员,研究方向为雷达系统、综合监视系统、信号与信息处理等

    刘宏伟:男,教授,博士,博士生导师,研究方向为雷达目标分类与识别、认知网络、网络化协同探测等

    通讯作者:

    严俊坤 jkyan@xidian.edu.cn

  • 中图分类号: TN953

An Integrated Detection and Tracking Algorithm Assisted by Multi-information for Bistatic Radar

Funds: The National Natural Science Foundation of China(62071345), The Natural Science Foundation of Shannxi Province (2020JQ-297), The Aero Science Foundation of China (201920081002)
  • 摘要: 该文针对双基地雷达提出一种多元信息辅助的检测跟踪一体化方法。结合雷达在目标跟踪阶段获取的目标位置与回波幅度等多元先验信息,辅助设计跟踪波门内检测门限,以期提升目标的检测与跟踪性能。该文首先根据已获取的目标位置先验信息,在概率数据互联(PDA)框架下基于贝叶斯最小错误准则修正了传统似然比检测器。为进一步提升弱目标探测性能,该文引入航迹终结准则松弛了门限设置规则,并计算了跟踪波门内的平均虚警概率和检测概率。最后,该文重新推导了多元信息辅助情况下PDA算法的关联概率计算方式,完整地给出了算法流程,并通过仿真实验验证了算法的可行性和有效性。
  • 图  1  双基地雷达对目标的观测模型

    图  2  算法流程图

    图  3  雷达与目标的空间位置关系

    图  4  检测概率对比图

    图  5  检测门限

    图  6  RMSE对比图

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出版历程
  • 收稿日期:  2022-03-11
  • 修回日期:  2022-06-17
  • 网络出版日期:  2022-06-25
  • 刊出日期:  2023-04-10

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