基于双曲调频波形稀疏重构的干扰抑制方法

doi:10.12305/j.issn.1001-506X.2021.07.05

摘要/Abstract

摘要：

双曲调频波形特有的多普勒不变性使其在远程高速目标成像方面具有显著优势。然而波形的非线性调频特性限制了其在现有宽带解调频接收系统中的应用, 且在间歇采样转发干扰情形下成像性能退化。为此, 在分析目标双曲调频波形解调频回波特性的基础上, 提出一种基于稀疏重构的干扰抑制方法。首先, 构建了双曲调频波形解调频回波模型与间歇采样转发干扰时域抑制模型。其次, 基于此模型建立了相应的稀疏矩阵, 并利用目标结构稀疏特性对重建算法进行了加速。所提出的干扰抑制与波形成像方法可实现干扰有效抑制和多目标聚焦成像。最终, 通过电磁仿真数据验证了所提方法的有效性。

关键词: 双曲调频波形, 稀疏重构, 间歇采样转发干扰

Abstract:

Hyperbolic frequency modulated (HFM) waveform has a significant advantage in long-distance high-speed target imaging due to the characteristic of Doppler invariance. However, nonlinear frequency modulation limits the application of HFM waveform in demodulated receiving system. At the same time, the imaging performance is degraded significantly under the interrupted sampling repeater jamming (ISRJ). Accordingly, on the basis of analyzing the characteristics of HFM wideband stretching echo, a jamming suppression method based on sparse reconstruction is proposed. Firstly, the HFM wideband stretching waveform model and time domain suppression model of ISRJ are derived. Then, specific sparse matrices are constructed and the algorithm is accelerated due to the sparse structure information of targets. Therefore, the proposed method can not only suppress jamming but also reconstruct focused images of multi-targets. Finally, electromagnetic simulation datas verify the effectiveness of the proposed method.

Key words: hyperbolic frequency modulated (HFM), sparse reconstruction, interrupted sampling repeater jamming (ISRJ)

中图分类号:

TN957

张彦, 叶春茂, 鲁耀兵, 陈学斌. 基于双曲调频波形稀疏重构的干扰抑制方法[J]. 系统工程与电子技术, 2021, 43(7): 1766-1774.

Yan ZHANG, Chunmao YE, Yaobin LU, Xuebin CHEN. Jamming suppression method for hyperbolic frequency modulated waveform based on sparse reconstruction[J]. Systems Engineering and Electronics, 2021, 43(7): 1766-1774.

图/表 10

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

参考文献 32

1	ZHANG Y X , CHEN X F , XU H W , et al. Fast acceleration and velocity estimation for wideband stretching LFM radars based on mutual bias correction[J]. IEEE Sensors Journal, 2020, 20 (15): 8683- 8697. doi: 10.1109/JSEN.2020.2983839
2	JIN G D , DENG Y K , WANG R , et al. An advanced nonlinear frequency modulation waveform for radar imaging with low side lobe[J]. IEEE Trans.on Geoscience and Remote Sensing, 2019, 59 (8): 6155- 6168.
3	LIU J F , ZHANG Y H , DONG X . Dechirping compression method for nonlinear frequency modulation waveforms[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16 (3): 377- 381. doi: 10.1109/LGRS.2018.2875893
4	BOUALEM B , BRAHIM K J , SAMIR Q . Refining the ambiguity domain characteristics of non-stationary signals for improved time-frequency analysis: test case of multidirectional and multi-component piecewise LFM and HFM signals[J]. Digital Signal Processing, 2018, 6 (1): 780- 792.
5	BALLER A , FARINA A . Ambiguity function and accuracy of the hyperbolic chirp: comparison with the linear chirp[J]. IET Radar, Sonar and Navigation, 2017, 11 (1): 142- 153. doi: 10.1049/iet-rsn.2016.0100
6	MURRAY J J . On the Doppler bias of hyperbolic frequency modulation matched filter time of arrival estimates[J]. IEEE Journal of Oceanic Engineering, 2019, 44 (2): 446- 450. doi: 10.1109/JOE.2018.2819779
7	SONG X F , WILLETT P , ZHOU S L . Range bias modeling for hyperbolic frequency modulated waveforms in target tracking[J]. IEEE Journal of Oceanic Engineering, 2012, 37 (4): 670- 679. doi: 10.1109/JOE.2012.2206682
8	周伟, 叶春茂, 金侃, 等. 雷达目标双曲线调频回波生成[J]. 清华大学学报(自然科学版), 2015, 55 (8): 878- 883.
	ZHOU W , YE C M , JIN K , et al. Radar echo generation for hyperbolic frequency modulation waveforms[J]. Journal of Tsinghua University (Science and Technology), 2015, 55 (8): 878- 883.
9	ZHOU W , YE C M , JIN K , et al. ISAR imaging based on the wideband hyperbolic frequency-modulation waveform[J]. Sensors, 2015, 15 (1): 23188- 23204.
10	LI H , ONG Y S , GONG M G , et al. Evolutionary multitasking sparse reconstruction: framework and case study[J]. IEEE Trans.on Evolutionary Computation, 2019, 23 (5): 733- 747. doi: 10.1109/TEVC.2018.2881955
11	WEN J M , ZHANG R , YU W . Signal dependent performance analysis of orthogonal matching pursuit for exact sparse recovery[J]. IEEE Trans.on Signal Processing, 2020, 68 (1): 5031- 5046.
12	TZAGKARAKIS G , NOLAN J P , TSAKALIDES P . Compressive sensing using symmetric alpha-stable distributions for robust sparse signal reconstruction[J]. IEEE Trans.on Signal Processing, 2019, 67 (3): 808- 820. doi: 10.1109/TSP.2018.2887400
13	ZHANG Y C , ANDREAS J , ZHANG Y , et al. Wideband sparse reconstruction for scanning radar[J]. IEEE Trans.on Geoscience and Remote Sensing, 2018, 56 (10): 6055- 6068.
14	LIU X B , LIU J , ZHAO F , et al. A novel strategy for pulse radar HRRP reconstruction based on randomly interrupted transmitting and receiving in radio frequency simulation[J]. IEEE Trans.on Antennas and Propagation, 2018, 66 (5): 2569- 2580. doi: 10.1109/TAP.2018.2814202
15	WEI Y K , LI Y C , CHEN X L , et al. Multi-angle SAR sparse image reconstruction with improved attributed scattering model[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 17 (7): 1188- 1192.
16	CHENG P , WANG X X , ZHAO J Q , et al. A fast and accurate compressed sensing reconstruction algorithm for ISAR imaging[J]. IEEE Access, 2019, 7, 157019- 157026. doi: 10.1109/ACCESS.2019.2949756
17	LU X Y , ZHAO Y J , YANG J C , et al. An efficient method for single channel SAR target reconstruction under severe deceptive jamming[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17 (2): 237- 241. doi: 10.1109/LGRS.2019.2918838
18	张亮, 王国宏, 张翔宇, 等. 基于分数阶字典的间歇采样转发干扰自适应抑制算法[J]. 系统工程与电子技术, 2020, 42 (7): 1439- 1447.
	ZHANG L , WANG G H , ZHANG X Y , et al. Interrupted sampling repeater jamming adaptive suppression algorithm based on fractional dictionary[J]. Systems Engineering and Electronics, 2020, 42 (7): 1439- 1447.
19	王雪松, 刘建成, 张文明, 等. 间歇采样转发干扰的数学原理[J]. 中国科学E辑(信息科学), 2006, 36 (8): 891- 901.
	WANG X S , LIU J C , ZHANG W M , et al. The mathematical principle of interrupted sampling repeater jamming[J]. Science in China Series E(Information Sciences), 2006, 36 (8): 891- 901.
20	WU Q H , ZHAO F , AI X F , et al. Two-dimensional blanket jamming against ISAR using non-periodic ISRJ[J]. IEEE Sensors Journal, 2019, 19 (11): 4031- 4038. doi: 10.1109/JSEN.2019.2897363
21	CHEN J , WU W Z , XU S Y . Band pass filter design against interrupted-sampling repeater jamming based on time-frequency analysis[J]. IET Radar, Sonar & Navigation, 2019, 13 (10): 1646- 1654.
22	ZHOU C , LIU Q H , CHEN X L . Parameter estimation and suppression for DRFM-based interrupted sampling repeater[J]. IET Radar, Sonar and Navigation, 2018, 12 (1): 56- 63. doi: 10.1049/iet-rsn.2017.0114
23	CHEN J , CHEN X L , ZHANG H G , et al. Suppression method for main-lobe interrupted sampling repeater jamming in distributed radar[J]. IEEE Access, 2020, 8, 139255- 139265. doi: 10.1109/ACCESS.2020.3000278
24	ZHOU K , LI D X , SU Y , et al. Joint design of transmit waveform and mismatch filter in the presence of interrupted sampling repeater jamming[J]. IEEE Signal Processing Letters, 2020, 27 (1): 1610- 1614.
25	REN Z F , JIANG M , ZHANG L . Orthogonal phase-frequency coded signal in a pulse against interrupted sampling repeater jamming[J]. The Journal of Engineering, 2019, 21 (11): 7573- 7576.
26	ZHOU C , LIU F F , LIU Q H . An adaptive transmitting scheme for interrupted sampling repeater jamming suppression[J]. Sensors, 2017, 17 (11): 2480- 2496. doi: 10.3390/s17112480
27	原慧, 王春阳, 安磊, 等. 基于压缩感知信号重构的间歇采样转发干扰对抗方法[J]. 系统工程与电子技术, 2018, 40 (4): 717- 725.
	YUAN H , WANG C Y , AN L , et al. ECCM scheme against interrupted-sampling repeater jamming based on compressed sensing signal reconstruction[J]. Systems Engineering and Electronics, 2018, 40 (4): 717- 725.
28	TROPP J A , GILBERT A C . Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Trans.on Information Theory, 2007, 53 (12): 4655- 4666. doi: 10.1109/TIT.2007.909108
29	HE X Y , TONG N N , HU X W . High resolution ISAR imaging via MMV based block-sparse signal recovery[J]. IET Radar, Sonar and Navigation, 2019, 13 (2): 208- 212. doi: 10.1049/iet-rsn.2018.5181
30	TANG H V , ABDESSELAM B , SON L P . Multi-polarization through wall radar imaging using low rank and jointly-sparse representations[J]. IEEE Trans.on Image Processing, 2018, 27 (4): 1763- 1776. doi: 10.1109/TIP.2017.2786462
31	SHAO S , ZHANG L , LIU H W . High-resolution ISAR imaging and motion compensation with 2-D joint sparse reconstruction[J]. IEEE Trans.on Geoscience and Remote Sensing, 2020, 58 (10): 6791- 6811. doi: 10.1109/TGRS.2020.2974550
32	HU X W , TONG N N , ZHANG Y S , et al. MIMO radar imaging with non-orthogonal waveforms based on joint-block sparse recovery[J]. IEEE Trans.on Geoscience and Remote Sensing, 2018, 56 (10): 5985- 5996.

[1]	张彦, 叶春茂, 李璋峰, 鲁耀兵. 多种转发干扰下的脉内脉间波形综合优化设计[J]. 系统工程与电子技术, 2022, 44(5): 1495-1501.
[2]	李文静, 李卓林, 袁振涛. 基于稀疏重构的海杂波抑制和目标提取算法[J]. 系统工程与电子技术, 2022, 44(3): 777-785.
[3]	杜思予, 全英汇, 沙明辉, 方文, 邢孟道. 基于进化PSO算法的稀疏捷变频雷达波形优化[J]. 系统工程与电子技术, 2022, 44(3): 834-840.
[4]	董淑仙, 全英汇, 沙明辉, 方文, 邢孟道. 捷变频雷达联合脉内频率编码抗间歇采样干扰[J]. 系统工程与电子技术, 2022, 44(11): 3371-3379.
[5]	张研, 王保平, 方阳, 宋祖勋. 基于正交频谱重构的微波三维成像方法[J]. 系统工程与电子技术, 2021, 43(8): 2090-2098.
[6]	张瑞, 全英汇, 朱圣棋, 李亚超, 邢孟道. 基于改进OMP算法的稀疏目标微波关联成像方法[J]. 系统工程与电子技术, 2021, 43(7): 1756-1765.
[7]	丁逊, 张劲东, 王娜, 王玉莹. 基于相参积累的捷变频雷达系统相位误差估计与稀疏场景重构算法[J]. 系统工程与电子技术, 2021, 43(6): 1515-1523.
[8]	李槟槟, 陈辉, 刘维建, 张昭建, 周必雷. 低快拍下基于稀疏重构的大电磁矢量传感器阵列多维参数联合估计[J]. 系统工程与电子技术, 2021, 43(4): 868-874.
[9]	张彦, 叶春茂, 鲁耀兵, 陈学斌. 双曲调频波形抑制间歇采样转发干扰效果分析[J]. 系统工程与电子技术, 2021, 43(11): 3169-3176.
[10]	吴传章, 陈伯孝. 间歇非均匀采样转发干扰产生方法研究[J]. 系统工程与电子技术, 2021, 43(1): 1-10.
[11]	张亮, 王国宏, 张翔宇, 李思文, 辛婷婷. 基于分数阶字典的间歇采样转发干扰自适应抑制算法[J]. 系统工程与电子技术, 2020, 42(7): 1439-1448.
[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]	李红光, 郭英, 张坤峰, 眭萍. 基于自适应网格的跳频信号参数估计[J]. 系统工程与电子技术, 2019, 41(8): 1865-1872.
[14]	降佳伟, 吴彦鸿, 王宏艳, 吴翔宇. 基于多相位分段调制的间歇采样转发干扰[J]. 系统工程与电子技术, 2019, 41(7): 1450-1458.
[15]	李玮, 邓维波, 杨强, MARCO Donald Migliore. 阵列失效单元非凸压缩感知平面近场快速诊断方法[J]. 系统工程与电子技术, 2019, 41(6): 1173-1179.