A Suppression Algorithm of Blanket-distance Deception Compound Jamming based on Joint Signal-data Processing
-
摘要: 针对单一信号处理或数据处理对压制-欺骗加性复合干扰抑制效果较差的问题，论文提出一种适用于脉冲压缩雷达的基于信号-数据联合处理的压制-距离欺骗复合干扰抑制算法。首先，通过分数阶傅里叶变换(FRFT)域窄带滤波以及LFM信号重构对消算法，实现信号层对压制干扰的抑制，并减小对真实目标的漏检概率；然后，利用噪声点迹空间相关性较差的特征，通过M/N逻辑法对噪声点迹进行剔除，并对目标点迹进行航迹起始；最后，根据距离假目标航迹角度量测误差方差较大的特点，通过
${\chi ^2}$ 检验以及聚类划分算法，对虚假目标航迹进行剔除，最终实现对压制-欺骗加性复合干扰的抑制。仿真结果表明，该文算法对压制-欺骗复合干扰能够起到较好的抑制效果。-
关键词:
- 信号-数据联合处理 /
- 压制-距离欺骗复合干扰 /
- 分步抑制 /
- 分数阶傅里叶变换
Abstract: Considering at the problem that the suppression effect of single signal processing or data processing is poor on blanket-deception compound jamming, a suppression algorithm of blanket-distance deception compound jamming based on joint signal-data processing is proposed. Firstly, the Fractional Fourier Transform (FRFT) domain narrowband filtering and LFM signal reconstruction algorithm are used to suppress the suppression of the signal layer and reduce the leakage probability of the real target. Then, the target tracks and the deception tracks are rejected by using the M/N logic method. Finally, according to the different characteristics of the angle variance between the false targets and the true targets, the false targets are eliminated by the${\chi ^2}$ test and the clustering algorithm. The simulation results verify the good effect of the algorithm proposed in this paper. -
表 1 目标检测概率和虚警概率随门限取值变化
门限取值 1 2 3 4 5 6 检测概率 1.00 1.00 1.00 0.99 0.88 0.79 虚警概率 0.45 0.23 0.11 0.03 0 0 
下载: 导出CSV
-
ROJA R B and UTTARAKUMARI M. Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar[J]. Springerplus, 2015, 4(1): 1–12 doi: 10.1186/s40064-015-1501-x 廖胜男, 韦杉, 文树梁, 等. 基于相位扰动的抗有源加性复合干扰技术[J]. 航天电子对抗, 2012, 28(1): 24–26 doi: 10.3969/j.issn.1673-2421.2012.01.009LIAO Shengnan, WEI Shan, WEN Shuliang, et al. An algorithm for restraining active additive compound jamming based on phase-perturbed[J]. Aerospace Electronic Warfare, 2012, 28(1): 24–26 doi: 10.3969/j.issn.1673-2421.2012.01.009 任鹏冲, 叶广强, 刘华伟. 一种有源加性复合干扰的对抗算法研究[J]. 计算机量测与控制, 2016, 24(1): 84–88 doi: 10.16526/j.cnki.11-4762/tp.2016.01.079REN Pengchong, YE Guangqiang, and LIU Huawei. An algorithm research for restraining active additive compound jamming[J]. Computer Measurement&Control, 2016, 24(1): 84–88 doi: 10.16526/j.cnki.11-4762/tp.2016.01.079 贺照辉, 秦江敏, 马晓岩. 基于PR的雷达抗复合干扰中神经网络特征提取[J]. 空军预警学院学报, 2004, 18(3): 12–15 doi: 10.3969/j.issn.1673-8691.2004.03.005HE Zhaohui, QIN Jiangmin, and MA Xiaoyan. NN feature extraction with PR radar anti-complex-jamming[J]. Journal of Air Force Radar Academy, 2004, 18(3): 12–15 doi: 10.3969/j.issn.1673-8691.2004.03.005 孙殿星, 王国宏, 贺达超, 等. 雷达组网抗距离-速度欺骗复合干扰技术研究[J]. 现代防御技术, 2016, 44(3): 84–91 doi: 10.3969/j.issn.1009-086x.2016.03.014SUN Dianxing, WANG Guohong, HE Dachao, et al. Antijamming technique in the presence of range-velocity deception compound jamming based on radar network[J]. Modern Defense Technology, 2016, 44(3): 84–91 doi: 10.3969/j.issn.1009-086x.2016.03.014 户锋刚, 阮怀林. 脉冲多普勒雷达特征分析及干扰识别方法研究[J]. 舰船电子对抗, 2007, 30(3): 30–36 doi: 10.3969/j.issn.1673-9167.2007.03.008HU Fenggang and RUAN Huailin. Characteristic analysis of pulse Doppler radar and the study of jamming recognition method[J]. Shipboard Electronic Countermeasure, 2007, 30(3): 30–36 doi: 10.3969/j.issn.1673-9167.2007.03.008 龚询, 徐海全, 王国宏, 等. SOJ与RGPO复合干扰下目标跟踪技术[J]. 火力与指挥控制, 2014, 39(8): 22–25 doi: 10.3969/j.issn.1002-0640.2014.08.006GONG Xun, XU Haiquan, WANG Guohong, et al. Target tracking technique under SOJ and RGPO compound jamming[J]. Fire Control&Command Control, 2014, 39(8): 22–25 doi: 10.3969/j.issn.1002-0640.2014.08.006 田原. 雷达有源复合干扰抑制算法研究与实验数据分析[D]. [硕士论文], 电子科技大学, 2013. 陶然, 邓兵, 王越, 等. 分数阶傅里叶变换及其应用[M]. 北京: 清华大学出版社, 2009: 11–12. 何友, 关键, 彭应宁, 等. 雷达自动检测与恒虚警处理[M]. 北京: 清华大学出版社, 1999: 146–147. 王瑜, 李小波, 周青松, 等. 基于FRFT窄带滤波的LFM信号研究[J]. 火力与指挥控制, 2016, 41(12): 41–43 doi: 10.3969/j.issn.1002-0640.2016.12.009WANG Yu, LI Xiaobo, ZHOU Qingsong, et al. Study of LFM signal based on FRFT domain narrowband filter[J]. Fire Control&Command Control, 2016, 41(12): 41–43 doi: 10.3969/j.issn.1002-0640.2016.12.009 FAN H L, XU Z, CHENG S Y, et al. The parameters estimation of LFM pulse signal based on FrFT[C]. The 2016 International Conference on Mechanical Engineering and Control System, Wuhan, China, 2017: 249–257. SONG J and LIU Y. Parameter estimation of LFM signal by direct and spline interpolation based on FrFT[J]. Lecture Notes in Electrical Engineering, 2013, 210: 41–48 doi: 10.1007/978-3-642-34528-9_5 何友, 修建娟, 张晶炜, 等. 雷达数据处理及应用[M]. 北京: 电子工业出版社, 2010: 35–37 饶彬.对抗条件下弹道目标的雷达跟踪技术研究[D]. [博士论文], 国防科学技术大学, 2011 周文辉, 李琳, 陈国海. 一种有效的RGPO干扰识别算法及性能分析[J]. 电子学报, 2007, 35(6): 1165–1169 doi: 10.3321/j.issn:0372-2112.2007.06.031ZHOU Wenhui, LI Lin, and CHEN Guohai. An effective algorithm for discriminating RGPO with performance analysis[J].Acta Electronic Sinica, 2007, 35(6): 1165–1169 doi: 10.3321/j.issn:0372-2112.2007.06.031 ABAVISANI M and PATEL V M. Multimodal sparse and low-rank subspace clustering[J]. Information Fusion, 2018, 39: 168–177 doi: 10.1016/j.inffus.2017.05.002 ARIAS-CASTRO E and PU X. A simple approach to sparse clustering[J]. Computational Statistics&Data Analysis, 2017, 105(6): 217–228 doi: 10.1016/j.csda.2016.08.003 -
图(12) / 表(1)
计量
- 文章访问数: 2064
- HTML全文浏览量: 587
- PDF下载量: 54
- 被引次数: 0
下载:
