电子学报 ›› 2018, Vol. 46 ›› Issue (10): 2467-2471.DOI: 10.3969/j.issn.0372-2112.2018.10.021

• 学术论文 • 上一篇    下一篇

基于主动探测与被动截获协同的多源异类数据融合定位算法研究

杨军, 张萌   

  1. 中国船舶工业系统工程研究院, 北京 100094
  • 收稿日期:2016-12-06 修回日期:2017-11-23 出版日期:2018-10-25
    • 通讯作者:
    • 张萌
    • 作者简介:
    • 杨军,男.1967年5月出生,北京人.1989年毕业于西北工业大学电子工程系,其后在中国船舶工业系统工程研究院工作,主要从事电子对抗和无人机系统技术方面的研究.E-mail:yangjun_cb@sina.com

Research on Multi Source Heterogeneous Data Fusion Location Algorithm Based on Active Detection and Passive Acquisition

YANG Jun, ZHANG Meng   

  1. Systems Engineering Research Institute of China State Shipbuilding Corporation, Beijing 100094, China
  • Received:2016-12-06 Revised:2017-11-23 Online:2018-10-25 Published:2018-10-25
    • Corresponding author:
    • ZHANG Meng

摘要: 针对当前主动雷达在复杂电磁环境下的使用风险,以及无源被动定位精度较差的问题,本文提出了一种基于极大似然意义下的雷达主动探测与电子侦察被动截获相结合的数据融合最优定位算法,该算法有效地提高了目标定位精度.通过Monte Carlo仿真表明,在信噪比适当的情况下,所提算法能够达到CRLB界,验证了该算法的有效性.

关键词: 主被动雷达协同定位, 信息融合, 极大似然, 理论精度界

Abstract: For the current operation risk of active radar which encounter frequently under the complicated electromagnetic environment, based on the Maximum Likelihood Estimation (MLE), a novel optimal locating algorithm which make a data fusion combining the active detection of radar and the passive interception of electronic reconnaissance is proposed in this paper. This new algorithm also aims at the common problem of the low accuracy in the passive location, and it can increase the location accuracy effectively. The result of the Monte Carlo simulation demonstrates the effectiveness of the proposed algorithm, by which can attain CRLB boundary when SNR is appropriate.

Key words: active and passive radar co-location, information fusion, MLE, theoretical precision boundary

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