集中式组网雷达的假目标欺骗干扰优化方法

doi:10.3969/j.issn.1001-506X.2020.07.08

摘要/Abstract

摘要：

针对组网雷达系统综合抗干扰能力强的问题,在集中式融合结构组网雷达背景下提出了一种假目标欺骗干扰优化方法。首先，建立了组网雷达跟踪目标的状态和量测模型,以及假目标距离和速度欺骗干扰模型,进而建立了量测偏差模型。然后，在此基础上,分别研究了单次和持续假目标欺骗干扰对组网雷达融合中心的卡尔曼滤波状态估计误差的影响。最后，通过分析假目标欺骗干扰的约束条件,提出了假目标欺骗干扰目标函数最优化的问题,并基于模拟退火算法进行了求解。仿真结果验证了假目标欺骗干扰引起的状态估计误差的表达式,以及本文方法的有效性。

关键词: 组网雷达, 状态估计, 假目标, 欺骗干扰

Abstract:

For the problem of strong anti-jamming ability of the netted radar system, a false target deception jamming optimized method is proposed in the context of the netted radar with a centralized fusion structure. First, the state and measurement model of the target of the netted radar, and the false target distance and velocity deception jamming model are established, and then the measurement deviation model is established. Next, based on this, the influence of the single and continuous false target deception jamming against the Kalman filtering state estimation error of the netted radar fusion center is studied respectively. Finally, by analyzing the false target deception jamming constraints, the optimization problem of the false target deception jamming objective function is proposed, which is solved based on the simulated annealing arithmetic. Simulation results verify the state estimation error expression caused by the false target deception jamming and the effectiveness of the proposed method.

Key words: netted radar, state estimation, false target, deception jamming

中图分类号:

TN974

黄天奇, 王布宏, 田继伟. 集中式组网雷达的假目标欺骗干扰优化方法[J]. 系统工程与电子技术, 2020, 42(7): 1484-1490.

Tianqi HUANG, Buhong WANG, Jiwei TIAN. False target deception jamming optimized method for centralized netted radar[J]. Systems Engineering and Electronics, 2020, 42(7): 1484-1490.

图/表 9

图1

图2

表1

图3

图4

图5

图6

图7

图8

参考文献 32

1	ZHAO S S , LIU N , ZHANG L R , et al. Discrimination of deception targets in multistatic radar based on clustering analysis[J]. IEEE Sensors Journal, 2016, 16 (8): 2500- 2508. doi: 10.1109/JSEN.2016.2516000
2	吴健平, 王国宏, 孙殿星, 等. 基于新息检验的分布式雷达网虚假航迹鉴别[J]. 系统工程与电子技术, 2015, 37 (1): 67- 72.
	WU J P , WAND G H , SUN D X , et al. Phantom track discrimination based on inspection of innovationin distributed radar network[J]. Systems Engineering and Electronics, 2015, 37 (1): 67- 72.
3	TIAN T W , ZHANG T X , KONG L J . Timeliness constrained task scheduling for multifunction radar network[J]. IEEE Sensors Journal, 2018, 18 (2): 525- 534.
4	LI X T , ZHANG T X , YI W , et al. Radar selection based on the measurement information and the measurement compensation for target tracking in radar network[J]. IEEE Sensors Journal, 2019, 20 (18): 7923- 7935.
5	LI Q , ZHANG L R , ZHOU Y , et al. Discrimination of active false targets based on Hermitian distance for distributed multiple-radar architectures[J]. IEEE Access, 2019, 7, 71872- 71883. doi: 10.1109/ACCESS.2019.2920365
6	ABDALLA A , AHMED M G S , ZHAO Y , et al. Deceptive jamming suppression in multistatic radar based on coherent clustering[J]. Journal of Systems Engineering and Electronics, 2018, 29 (2): 269- 277.
7	YU H L , ZHANG J , ZHANG L R , et al. Polarimetric multiple-radar architectures with distributed antennas for discriminating between radar targets and deception jamming[J]. Digital Signal Processing, 2019, 90, 46- 53. doi: 10.1016/j.dsp.2019.03.012
8	NOURI M , MIVEHCHY M , SABAHI M F . Novel anti-deception jamming method by measuring phase noise of oscillators in LFMCW tracking radar sensor networks[J]. IEEE Access, 2017, 5, 11455- 11467. doi: 10.1109/ACCESS.2017.2655040
9	LI S Y , ZHANG L R , LIU N , et al. Adaptive detection with conic rejection to suppress deceptive jamming for frequency diverse MIMO radar[J]. Digital Signal Processing, 2017, 69, 32- 40. doi: 10.1016/j.dsp.2017.06.008
10	COLUCCIA A , RICCI G . ABORT-like detection strategies to combat possible deceptive ECM signals in a network of radars[J]. IEEE Trans.on Signal Processing, 2015, 63 (11): 2904- 2914. doi: 10.1109/TSP.2015.2415754
11	PATEL J S , FIORANELLI F , RITCHIE M . Fusion of deep representations in multistatic radar networks to counteract the presence of synthetic jamming[J]. IEEE Sensors Journal, 2019, 19 (15): 6362- 6370. doi: 10.1109/JSEN.2019.2909685
12	ZHOU C , LIU Q H , CHEN X L . Parameter estimation and suppression for DRFM-based interrupted sampling repeater jammer[J]. IET Radar, Sonar & Navigation, 2017, 12 (1): 56- 63.
13	RATNOO A , SHIMA T . Formation-flying guidance for cooperative radar deception[J]. Journal of Guidance, Control and Dynamics, 2012, 35 (6): 1730- 1739.
14	LEE I H , BANG H . A cooperative line-of-sight guidance law for a three-dimensional phantom track generation using unmanned aerial vehicles[J]. of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2012, 227 (6): 897- 915.
15	DHANANJAY N , GHOSE D , KUDUVALLI A . Generation of a class of proportional navigation guided interceptor phantom tracks[J]. Journal of Guidance, Control and Dynamics, 2015, 38 (11): 2206- 2215. doi: 10.2514/1.G001180
16	朱宇, 罗景青, 田玮. 对组网雷达的多假目标欺骗干扰技术[J]. 电光与控制, 2013, 20 (9): 93- 98. doi: 10.3969/j.issn.1671-637X.2013.09.020
	ZHU Y , LUO J Q , TIAN W . Research on multi-false-target jamming against netted radar[J]. Electronics Optics & Control, 2013, 20 (9): 93- 98. doi: 10.3969/j.issn.1671-637X.2013.09.020
17	WANG S L , BI D P , RUAN H L , et al. Radar maneuvering target tracking algorithm based on human cognition mechanism[J]. Chinese Journal of Aeronautics, 2019, 32 (7): 1695- 1704. doi: 10.1016/j.cja.2018.11.013
18	SOBHANI B , PAOLINI E , GIORGETTI A , et al. Target tracking for UWB multistatic radar sensor networks[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8 (1): 125- 136. doi: 10.1109/JSTSP.2013.2286771
19	YAN J K , LIU H W , PU W Q , et al. Joint threshold adjustment and power allocation for cognitive target tracking in asynchronous radar network[J]. IEEE Trans.on Signal Processing, 2017, 65 (12): 3094- 3106. doi: 10.1109/TSP.2017.2679693
20	WANG S L , BI D P , RUAN H L , et al. Cognitive structure adaptive particle filter for radar maneuvering target tracking[J]. IET Radar, Sonar & Navigation, 2018, 13 (1): 23- 30.
21	YAN J K , PU W Q , LIU H W , et al. Cooperative target assignment and dwell allocation for multiple target tracking in phased array radar network[J]. Signal Processing, 2017, 141, 74- 83. doi: 10.1016/j.sigpro.2017.05.014
22	欧阳志宏, 沈阳, 李修和. 基于干扰机组网主瓣干扰的单脉冲雷达航迹欺骗干扰技术[J]. 系统工程与电子技术, 2018, 40 (1): 80- 85.
	OUYANG Z H , SHEN Y , LI X H . Technique for track deception against monopulse radar based on netted mainlobe jamming[J]. Systems Engineering and Electronics, 2018, 40 (1): 80- 85.
23	GUO Y F , LIAO G S , LI J , et al. An improved range deception jamming recognition method for bistatic MIMO radar[J]. Digital Signal Processing, 2019, 95, 102578. doi: 10.1016/j.dsp.2019.102578
24	HUANG D T , CUI G L , YU X X , et al. Joint range-velocity deception jamming suppression for SIMO radar[J]. IET Radar, Sonar & Navigation, 2018, 13 (1): 113- 122.
25	SHI C G , ZHOU J J , WANG F . Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept[J]. Multidimensional Systems and Signal Processing, 2017, 29 (4): 1203- 1226.
26	NETTO M , MILI L . Robust data-driven Koopman Kalman filter for power systems dynamic state estimation[J]. IEEE Trans.on Power Systems, 2018, 33 (6): 7228- 7237.
27	ZHAO S S , ZHOU Y , ZHANG L R . Discrimination between radar targets and deception jamming in distributed multiple-radar architectures[J]. IET Radar, Sonar & Navigation, 2017, 12 (7): 1124- 1131.
28	王国宏, 吉喆. 基于多重判别的雷达网距离向多干扰目标鉴别[J]. 系统工程与电子技术, 2017, 39 (1): 40- 48.
	WANG G H , JI Z . Multi-range-false-target jamming for radar network based on multiple discriminations[J]. Systems Engineering and Electronics, 2017, 39 (1): 40- 48.
29	赵艳丽, 王雪松, 王国玉, 等. 多假目标欺骗干扰下组网雷达跟踪技术[J]. 电子学报, 2007, 35 (3): 454- 458. doi: 10.3321/j.issn:0372-2112.2007.03.014
	ZHAO Y L , WANG X S , WANG G Y , et al. Tracking technique for radar network in the presence of multi-range-false-target deception jamming[J]. Acta Electronica Sinica, 2007, 35 (3): 454- 458. doi: 10.3321/j.issn:0372-2112.2007.03.014
30	李明. 详解Matlab在最优化计算中的应用[M]. 2版北京: 电子工业出版社, 2017: 397- 409.
	LI M . Explain the application of Matlab in optimization calculation[M]. 2nd ed Beijing: Press of Electronics Industry, 2017: 397- 409.
31	ZHANG H W , XIE J W , GE J A , et al. Adaptive strong tracking square-root cubature Kalman filter for maneuvering aircraft tracking[J]. IEEE Access, 2018, 6, 10052- 10061. doi: 10.1109/ACCESS.2018.2808170
32	ZHOU W D , LIU L , HOU J X . Firefly algorithm-based particle filter for nonlinear systems[J]. Circuits, Systems and Signal Processing, 2019, 38 (4): 1583- 1595. doi: 10.1007/s00034-018-0927-0

雷达编号	位置坐标/km	测距精度/m	测角精度/rad	测速精度/(m/s)
1	(0, 0, 0)	30	0.001	6
2	(50, 0, 0)	50	0.001	5
3	(0, 50, 0)	40	0.001	7

[1]	周红平, 马明辉, 吴若无, 许雄, 郭忠义. 基于稀疏表示分类的雷达欺骗干扰识别方法[J]. 系统工程与电子技术, 2022, 44(9): 2791-2799.
[2]	陈嘉贝, 王青平, 叶源, 吴微微, 袁乃昌. 基于NSGA-Ⅱ的波前相位畸变特性分析[J]. 系统工程与电子技术, 2022, 44(5): 1439-1446.
[3]	纪朋徽, 代大海, 邢世其, 冯德军. 密集虚假运动目标生成方法[J]. 系统工程与电子技术, 2022, 44(5): 1502-1511.
[4]	王通典, 刘洁瑜, 吴宗收, 沈强, 姚二亮. 基于多尺度光流融合特征点视觉-惯性SLAM方法[J]. 系统工程与电子技术, 2022, 44(3): 977-985.
[5]	王俊杰, 冯德军, 胡卫东. 基于时变材料的合成孔径雷达图像二维调制方法[J]. 系统工程与电子技术, 2022, 44(2): 455-462.
[6]	龚树凤, 龙伟军, 贲德, 潘明海. 组网雷达自适应模糊CFAR检测融合算法[J]. 系统工程与电子技术, 2022, 44(1): 100-107.
[7]	王晓戈, 陈辉, 倪萌钰, 倪柳柳, 李槟槟. 基于相位调制的雷达抗假目标干扰方法[J]. 系统工程与电子技术, 2021, 43(9): 2476-2483.
[8]	张洋, 位寅生, 于雷. 主瓣多假目标干扰收发联合抑制方法[J]. 系统工程与电子技术, 2021, 43(6): 1486-1496.
[9]	方文, 全英汇, 沙明辉, 刘智星, 高霞, 邢孟道. 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.
[10]	姜予名, 李景文, 孙兵. 单站直达波欺骗干扰检测与抑制的DPCA方法[J]. 系统工程与电子技术, 2021, 43(6): 1524-1532.
[11]	赵凯, 魏光辉, 潘晓东, 杜雪, 任仕召. 单频电磁辐射对雷达的干扰规律[J]. 系统工程与电子技术, 2021, 43(2): 363-368.
[12]	董淑仙, 全英汇, 陈侠达, 高霞, 李亚超, 邢孟道. 基于捷变频联合数学形态学的干扰抑制算法[J]. 系统工程与电子技术, 2020, 42(7): 1491-1498.
[13]	许红, 谢文冲, 王永良. 角闪烁噪声下的高斯和容积卡尔曼滤波算法[J]. 系统工程与电子技术, 2019, 41(2): 229-235.
[14]	杨林, 张翔宇, 李林, 王国宏. 基于时空频特征融合的距离-速度复合欺骗干扰识别技术研究[J]. 系统工程与电子技术, 2019, 41(12): 2684-2691.
[15]	刘瑜, 刘俊, 徐从安, 王聪, 齐林, 丁自然. 非均匀拓扑网络中的分布式一致性状态估计算法[J]. 系统工程与电子技术, 2018, 40(9): 1917-1925.