• 论文 •

### 基于卷积盲分离的强干扰下通信信号分离算法

1. 空军工程大学 航空航天工程学院, 西安 710038
• 收稿日期:2015-06-23 出版日期:2016-06-20 发布日期:2016-07-06
• 通讯作者: 王星,Tel.:029-84787651 E-mail:17791862035@163.com E-mail:17791862035@163.com
• 作者简介:郭晓陶 男,硕士研究生。主要研究方向:电子对抗理论与应用、通信辐射源个体识别、多传感器信息融合。Tel.:029-84787835-803 E-mail:guoxiaotao526@163.com;王星 男,博士,教授,博士生导师。主要研究方向:电子对抗理论与应用。Tel.:029-84787651 E-mail:17791862035@163.com
• 基金资助:
航空科学基金(20145596025,20152096019)

### Radio signal separation algorithm under strong interference based on convolutive blind separation

GUO Xiaotao, WANG Xing, ZHOU Dongqing, CHEN You, CHENG Siyi

1. Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
• Received:2015-06-23 Online:2016-06-20 Published:2016-07-06

Abstract: Aiming at the low accurate identification rate of the radio transmitter source individual identification problem caused by various jamming signals and multi-path fading in actual experiments, this paper proposes an improved blind source separation algorithm, which is used before classification algorithm and can decrease influence to input signals caused by other electromagnetic signals, thus the algorithm can be applied to increasing the accuracy rate of radio transmitter individual identification in complicated electromagnetic environment. The algorithm uses the improved quantum particle swarm optimization which brings in the cataclysm strategy and self-adaption of the seek condition for the joint diagonalization, through which can separate the objective radio source signal from the intercepted observation signals. In order to evaluate the separating effect more systematically and intuitively, the separating entropy used to quantify the integral performance of the algorithm is defined. The simulation result demonstrates that the algorithm can separate the objective communication signal from the mixed signals in complicated electromagnetic environment, which enhances the anti-jamming performance of the radio transmitter source individual identification. Therefore, the proposed algorithm is of practicability and effectiveness.