1. 哈尔滨工程大学 青岛创新发展基地, 山东 青岛 266000
2. 哈尔滨工程大学 信息与通信工程学院, 黑龙江 哈尔滨 150001
3. 海军航空大学, 山东 烟台 264001
*邮箱: pengruihui@hrbeu.edu.cn
收稿:2022-07-07,
网络首发:2023-12-15,
纸质出版:2023-10-30
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韦文斌, 彭锐晖, 孙殿星, 等. 基于频响特性的大起伏密集假目标干扰识别技术[J]. 兵工学报, 2023,44(10):3204-3217.
Wenbin WEI, Ruihui PENG, Dianxing SUN, et al. Recognition of Dense False Target Jamming with Large Fluctuations Using Frequency Response Characteristics[J]. Acta Armamentarii, 2023, 44(10): 3204-3217.
韦文斌, 彭锐晖, 孙殿星, 等. 基于频响特性的大起伏密集假目标干扰识别技术[J]. 兵工学报, 2023,44(10):3204-3217. DOI: 10.12382/bgxb.2022.0610.
Wenbin WEI, Ruihui PENG, Dianxing SUN, et al. Recognition of Dense False Target Jamming with Large Fluctuations Using Frequency Response Characteristics[J]. Acta Armamentarii, 2023, 44(10): 3204-3217. DOI: 10.12382/bgxb.2022.0610.
转发式密集假目标干扰具有压制性和欺骗性干扰的特点
干扰信号与目标回波极为相似
识别难度大。基于密集假目标干扰产生机理和射频链路物理特性
系统研究并提出雷达和干扰机频率响应特性及其对真、假目标回波幅-频映射特征的影响机制模型;针对干扰信号功率动态范围较大的实际情况
提出大动态信/干噪比条件下基于频响特性的密集假目标干扰识别方法;通过卷积神经网络-长短时记忆网络双通道特征融合的基分类器构建和M/N逻辑分类器集成
实现真-假回波信号频响起伏特征提取与分类识别。研究结果表明:所提方法在实测数据上获得了94.5%以上的识别精度
证明了其有效性和先进性;所做工作对大起伏密集假目标干扰识别具有参考意义。
Forwarding dense false target jamming is suppressive and deceptive jamming
with jamming signals quite similar to those of the target echo
thus posing challenges for recognition. Based on the generation mechanism of dense false target jamming and the physical characteristics of the Ratio Frequency link
the frequency response characteristics of radar and jammer and the mechanism model of their influence on the amplitude-frequency mapping characteristics of true and false target echoes are systematically studied and proposed. On this basis
leveraging the large dynamic range of jamming signal power
a method of dense false target jamming recognition based on frequency response characteristics and large dynamic SNR/JNR is proposed. Through the construction of basis classifier with a dual-channel feature fusion network comprising convolutional neural network and long short-memory network (ODCNN-LSTM)
the M/N logical criteria is used to integrate the basis classifiers. Then
feature extraction and recognition of true and false echo signal frequency response fluctuations are realized. The recognition accuracy is over 94.5% for the measured data
demonstrating the effectiveness and innovation of the proposed method. This work holds significance for recognizing dense false target jamming with significant fluctuations.
张亮 , 王国宏 , 张翔宇 , 等 . 基于多阶次二维分数阶傅里叶变换的频谱弥散干扰抑制算法 [J ] . 兵工学报 , 2020 , 41 ( 9 ): 1826 - 1836 . DOI: 10.3969/j.issn.1000-1093.2020.09.015 http://doi.org/10.3969/j.issn.1000-1093.2020.09.015 现有频谱弥散(SMSP)干扰抑制算法均针对一个脉冲重复周期回波信号,涉及相干处理间隔(CPI)整体回波时,需要分别对每个重复周期内的SMSP进行抑制。针对该问题,以远距离支援干扰条件下线性调频脉冲多普勒雷达抗SMSP为背景,以雷达在真实目标方位接收到的一个CPI回波为处理对象,提出基于多阶次二维分数阶傅里叶变换的SMSP抑制算法。分析回波信号多阶次分数阶特征,结合采样型离散分数阶傅里叶变换快速算法,研究真实目标和干扰机发生分数阶域走动的临界运动参数,设计二维遮盖窗。仿真结果表明,所提算法无需分别对每个重复周期内的SMSP进行抑制,通过对一个CPI回波整体处理,可同时达成干扰抑制和目标检测的目的。
ZHANG L , WANG G H , ZHANG X Y , et al . Smeared spectrum jamming suppression algorithm based on multiple orders 2D-FRFT [J ] . Acta Armamentarii , 2020 , 41 ( 9 ): 1826 - 1836 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2020.09.015 http://doi.org/10.3969/j.issn.1000-1093.2020.09.015 The existing smeared spectrum (SMSP) jamming suppression algorithms are all aimed at the echo signal within a pulse repetition interval (PRI). Those algorithms need to suppress the SMSP jamming of each PRI when dealing with the whole echo within a coherent processing interval (CPI). For linear frequency modulation pulse Doppler radar countering stand-off SMSP jamming, a jamming suppression algorithm based on multiple orders two-dimensional fractional Fourier transform(2D-FRFT) is proposed to process the echo within a CPI received by radar. The fractional characteristics of the jammed echo are analyzed. On this basis,the critical motion parameters of real target and jammer in the appearance of fractional migration are studied using the sampling-type DFRFT. The 2D fractional coverage windows are designed to remove the SMSP jamming. The simulated results show that the proposed algorithm can be used to simultaneously achieve the jamming suppression and target detection by processing a CPI echo without suppressing the SMSP jamming of each PRI.
张亮 , 王国宏 , 孙殿星 , 等 . 基于回波预处理和相参积累的C&I干扰抑制算法 [J ] . 系统工程与电子技术 , 2021 , 43 ( 10 ): 2869 - 2875 . DOI: 10.12305/j.issn.1001-506X.2021.10.21 http://doi.org/10.12305/j.issn.1001-506X.2021.10.21 C&I(chopping and interleaving)干扰是一种针对线性调频(linear frequency modulation, LFM)雷达的典型干扰样式, 干扰子信号调频斜率与雷达发射信号相同, 利用信号处理工具分离真实回波与干扰信号难度较大。针对该问题, 以LFM相参雷达抗自卫式C&I干扰为背景, 提出基于回波预处理和相参积累的干扰抑制算法。根据估计的回波时延, 设置距离窗截取受干扰回波段, 在此基础上, 通过对回波预处理, 改变不同重复周期内假目标的快时间位置分布, 通过相参积累实现干扰抑制。仿真试验表明, 所提算法能够有效抑制强干扰背景下的C&I干扰, 干扰抑制后真实目标检测概率大幅提高, 虚假目标数量明显减少。
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方文 , 全英汇 , 沙明辉 , 等 . 捷变频联合波形熵的密集假目标干扰抑制算法 [J ] . 系统工程与电子技术 , 2021 , 43 ( 6 ): 1506 - 1514 . DOI: 10.12305/j.issn.1001-506X.2021.06.07 http://doi.org/10.12305/j.issn.1001-506X.2021.06.07 密集假目标干扰具备欺骗性和压制性的双重特性, 严重影响雷达作战效能。对此, 提出一种捷变频联合波形熵的密集假目标干扰抑制算法。首先采用Kittler算法进行二值化处理;其次利用波形熵识别目标和干扰;然后采用局部离群因子检测算法对目标回波中叠加有较强干扰旁瓣的数据进行剔除; 最后采用稀疏重构算法进行脉间相参处理。数字仿真实验和外场实测数据处理结果验证了所提算法的有效性。算法性能分析结果表明, 当干信比为58 dB时, 所提算法仍能有效抑制干扰, 正确检测目标。
FANG W , QUAN Y H , SHA M H , et al . Dense false targets jamming suppression algorithm based on frequency agility and waveform entropy [J ] . Systems Engineering and Electronics , 2021 , 43 ( 6 ): 1506 - 1514 . (in Chinese) DOI: 10.12305/j.issn.1001-506X.2021.06.07 http://doi.org/10.12305/j.issn.1001-506X.2021.06.07 Dense false target jamming has the dual characteristics of deception and suppression, which seriously affects the effectiveness of radar operations. Therefore, a jamming suppression algorithm based on frequency agility and waveform entropy is proposed. Firstly, the Kittler algorithm is used for binarization. Secondly, the waveform entropy is used to identify the target and interference. Then, the local outlier detection algorithm is used to eliminate the data with strong interference side lobes in the target echo. Finally, the sparse reconstruction algorithm is used to perform interpulse coherent processing. The results of digital simulation experiment and field measured data processing verify the effectiveness of the proposed algorithm. The algorithm performance analysis results show that when the interference signal ratio is 58 dB, the proposed algorithm can still effectively suppress the interference and correctly detect the target.
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