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

YANG Jun; ZHANG Meng

doi:10.3969/j.issn.0372-2112.2018.10.021

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

更新时间：2025-07-16

- Research on Multi Source Heterogeneous Data Fusion Location Algorithm Based on Active Detection and Passive Acquisition
- Acta Electronica Sinica Vol. 46, Issue 10, Pages: 2467-2471(2018)
- 作者机构：
  
  中国船舶工业系统工程研究院,北京,100094
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2018.10.021
  CLC： TN971
- Published Online：25 October 2018，
  
  Published：2018
- 稿件说明：
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YANG Jun, ZHANG Meng. Research on Multi Source Heterogeneous Data Fusion Location Algorithm Based on Active Detection and Passive Acquisition[J]. Acta Electronica Sinica, 2018, 46(10): 2467-2471.
DOI：

YANG Jun, ZHANG Meng. Research on Multi Source Heterogeneous Data Fusion Location Algorithm Based on Active Detection and Passive Acquisition[J]. Acta Electronica Sinica, 2018, 46(10): 2467-2471. DOI： 10.3969/j.issn.0372-2112.2018.10.021.

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.

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.

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