基于DBO-DAOD的未知雷达调制方式识别算法

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中图分类号： TN973 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.06.12

Abstract：With the emergence of various new radars and the use of wartime reservation mode，the actual battlefield electromagnetic environment is becoming more and more complex. Radar modulation signals with unknown types and sudden changes in parameters likely appear，which bring great challenges to theexisting modulation mode recognition algorithms.In this regard，the influence mechanism of radarmodulation “unknown”on the recognition results is analyzed，and the distribution alignment with open set difference （DAOD）algorithm is introduced into the field of radar modulation mode recognition，and a specific application scheme is designed.The dung beetle optimizer（DBO）algorithm is used to optimize the parameters of DAOD algorithm to solve the problem of prior knowledge and heuristic selection needed by DAOD algorithm.The simulation results show that the Accuracy and F-measure can reach 91.34% and 95.11% in the case of single unknown radar modulation mode. The Accuracy and F⋅ -measure are 91.37% and 93.69% in the case of multiple unknown radar modulation mode. Compared with DAOD algorithm，the above results increase by 3.77% ， 1.83% ，21. 17% and 12.06% ，respectively. Therefore，DBO-DAOD algorithm can effectively improve the recognition rate of unknown radar modulation modes.

Keywords：distribution alignment with open set difference（DAOD）；dung beetle optimizer（DBO）algorithm; unknown modulation mode recognition；influence mechanism

0 引言

雷达辐射源调制识别的基本任务，是在复杂信号环境以及噪声干扰情况下，分辨出接收信号的调制方式和其他信号参数[1]，进而为完成威胁判定和做出相应的反制措施创造条件[2]。（剩余18098字）