A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster-Shafer Evidence Theory.

A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster-Shafer Evidence Theory.
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DOI:
10.3390/s17091972
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发表时间:
2017-08-28
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
He Z
He Z
中科院分区:
其他
文献类型:
--
作者:
Jiang W;Cao Y;Yang L;He Z

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特定辐射源识别在现代军事中占有重要地位。然而,现有的特定辐射源识别方法大多没有考虑不确定信息的处理。为此,提出了一种基于Dempster-Shafer证据理论的时空域信息融合方法,该方法具有处理特定辐射源识别过程中不确定信息的能力。在本文中,雷达将根据各自获得的信息分别生成一组证据,我们的主要任务是将多组证据进行融合,得到一个合理的结果。在递归集中式融合模型的框架内,所提出的方法结合了相关系数,它衡量证据和量子力学方法之间的相关性,这是基于雷达本身的参数。仿真结果表明,该方法能有效地处理不确定性信息,得到合理的识别结果。
Specific emitter identification plays an important role in contemporary military affairs. However, most of the existing specific emitter identification methods haven’t taken into account the processing of uncertain information. Therefore, this paper proposes a time–space domain information fusion method based on Dempster–Shafer evidence theory, which has the ability to deal with uncertain information in the process of specific emitter identification. In this paper, radars will generate a group of evidence respectively based on the information they obtained, and our main task is to fuse the multiple groups of evidence to get a reasonable result. Within the framework of recursive centralized fusion model, the proposed method incorporates a correlation coefficient, which measures the relevance between evidence and a quantum mechanical approach, which is based on the parameters of radar itself. The simulation results of an illustrative example demonstrate that the proposed method can effectively deal with uncertain information and get a reasonable recognition result.
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