-
摘要:
在高动态场景下,干扰源相对于抗干扰天线快速运动,传统抗干扰算法会零陷失配,导致抗干扰性能失效。为此,提出一种极化空时多维域联合的协方差矩阵锥化(CMT)算法。基于Laplace分布构造锥化矩阵来模拟干扰运动状态,通过锥化矩阵与原始协方差矩阵重构新的协方差矩阵实现零陷展宽,结合最小方差无失真响应(MVDR)准则求解阵列权矢量。仿真结果从波束方向图、输出性能和卫星捕获结果3个方面证实了所提算法在干扰位置快变情形下的稳健性,即使在干扰信号和导航信号具有相同的方位角和频带时,也能有效抑制干扰。
Abstract:The classic anti-jamming algorithm will null mismatch in the high-dynamic scene where the jamming source moves quickly in relation to the anti-jamming antenna, resulting in the failure of anti-jamming performance. Therefore, this paper proposed a polarization space-time multi-dimensional domain joint covariance matrix taper (CMT) algorithm. Specifically, a taper matrix was constructed based on Laplace distribution to simulate the disturbance motion state. Then, it reconstructed a new covariance matrix through the taper matrix and the original covariance matrix to achieve null broadening. In this way, the array weight vector was solved by combining the minimum variance distortionless response (MVDR) criterion. According to the simulation results, the robustness of the algorithm in the case of rapidly changing jamming position can be confirmed from three aspects, including the beam pattern, output performance and satellite acquisition results. The jamming signal can still be efficiently suppressed even if the navigation signal and jamming signal are in the same azimuth and frequency band.
-
Key words:
- high dynamic /
- anti-jamming /
- Laplace /
- polarized space-time /
- null broadening
-
-
[1] GAO G X, SGAMMINI M, LU M Q, et al. Protecting GNSS receivers from jamming and interference[J]. Proceedings of the IEEE, 2016, 104(6): 1327-1338. doi: 10.1109/JPROC.2016.2525938 [2] THOMBRE S, BHUIYAN M Z H, ELIARDSSON P, et al. GNSS threat monitoring and reporting: Past, present, and a proposed future[J]. Journal of Navigation, 2018, 71(3): 513-529. doi: 10.1017/S0373463317000911 [3] BORIO D, CLOSAS P. Robust transform domain signal processing for GNSS[J]. Navigation, 2019, 66(2): 305-323. doi: 10.1002/navi.300 [4] DAI X Z, NIE J W, CHEN F Q, et al. Distortionless space-time adaptive processor based on MVDR beamformer for GNSS receiver[J]. IET Radar, Sonar & Navigation, 2017, 11(10): 1488-1494. [5] PARK K W, PARK C. Determination of LO frequency for reception of maximum number of GNSS signals in presence of interference[J]. Electronics Letters, 2019, 55(9): 552-554. doi: 10.1049/el.2019.0556 [6] 周长霖, 王春阳, 宫健, 等. 基于干扰重构和盲源分离的混合极化抗SMSP干扰[J]. 北京航空航天大学学报, 2021, 47(9): 1841-1848. doi: 10.13700/j.bh.1001-5965.2020.0326ZHOU C L, WANG C Y, GONG J, et al. Hybrid polarization anti-SMSP jamming based on jamming reconstruction and blind source separation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(9): 1841-1848(in Chinese). doi: 10.13700/j.bh.1001-5965.2020.0326 [7] YUAN X L, GAN L. Robust adaptive beamforming via a novel subspace method for interference covariance matrix reconstruction[J]. Signal Processing, 2017, 130: 233-242. doi: 10.1016/j.sigpro.2016.07.008 [8] LIU Y Q, LIU C C, HU D X, et al. Robust adaptive beam forming against random calibration error via interference-plus-noise covariance matrix reconstruction[J]. Signal Processing, 2019, 158: 107-115 . doi: 10.1016/j.sigpro.2019.01.003 [9] ZHANG B H, MA H G, SUN X L, et al. Robust anti-jamming method for high dynamic global positioning system receiver[J]. IET Signal Processing, 2016, 10(4): 342-350. doi: 10.1049/iet-spr.2015.0122 [10] QIAN J H, HE Z S, XIE J L, et al. Null broadening adaptive beamforming based on covariance matrix reconstruction and similarity constraint[J/OL]. EURASIP Journal on Advances in Signal Processing, 2017(2017-01-03) [2022-06-01]. https://asp.eurasipjournals.springeropen.com/articles/10.1186/S13634-016-0440.1. [11] MOHAMMADZADEH S, KUKRER O. Robust adaptive beamforming for fast moving interference based on the covariance matrix reconstruction[J]. IET Signal Processing, 2019, 13(4): 486-493. doi: 10.1049/iet-spr.2018.5264 [12] LI W X, ZHAO Y, YE Q B, et al. Adaptive antenna null broadening beamforming against array calibration error based on adaptive variable diagonal loading[J]. International Journal of Antennas and Propagation, 2017,2017: 1-9. [13] 王晓君, 李笑添. 基于功率估计的高动态GNSS抗干扰零陷展宽算法[J]. 太赫兹科学与电子信息学报, 2021, 19(5): 838-844.WANG X J, LI X T. Null widening algorithm for GNSS using a novel signal power estimation in high speed environment[J]. Journal of Terahertz Science and Electronic Information Technology, 2021, 19(5): 838-844(in Chinese). [14] 王海洋, 姚志成, 范志良, 等. 高速运动环境下GNSS接收机阵列抗干扰算法[J]. 系统工程与电子技术, 2020, 42(11): 2409-2417. doi: 10.3969/j.issn.1001-506X.2020.11.01WANG H Y, YAO Z C, FAN Z L, et al. Anti-jamming algorithm for GNSS receivers with array antenna in high speed environment[J]. Systems Engineering and Electronics, 2020, 42(11): 2409-2417(in Chinese). doi: 10.3969/j.issn.1001-506X.2020.11.01 [15] MAILLOUX R J. Covariance matrix augmentation to produce adaptive array pattern troughs[J]. Electronics Letters, 1995, 31(10): 771-772. [16] ZATMAN M. Production of adaptive array troughs by dispersion synthesis[J]. Electronics Letters, 1995, 31(25): 2141-2142. doi: 10.1049/el:19951486 [17] 卢丹, 葛璐, 王文益, 等. 基于空时降维处理的高动态零陷加宽算法[J]. 电子与信息学报, 2016, 38(1): 216-221.LU D, GE L, WANG W Y, et al. A high-dynamic null-widen algorithm based on reduced dimension space-time adaptive processing[J]. Journal of Electronics & Information Technology, 2016, 38(1): 216-221(in Chinese). [18] XIA G Q, XIA W, XIE M, et al. A robust GNSS polarized space-time anti-interference method based on null broadening[C]//10th International Conference on Communications, Circuits and Systems (ICCCAS). Piscataway: IEEE Press, 2019: 207-211. [19] 李荣锋, 王永良, 万山虎. 自适应天线方向图干扰零陷加宽方法研究[J]. 现代雷达, 2003, 25(2): 42-45. doi: 10.3969/j.issn.1004-7859.2003.02.012LI R F, WANG Y L, WAN S H. Research on adapted pattern null widening techniques[J]. Modern Radar, 2003, 25(2): 42-45(in Chinese). doi: 10.3969/j.issn.1004-7859.2003.02.012 [20] 武思军, 张锦中, 张曙. 阵列波束的零陷加宽算法研究[J]. 哈尔滨工程大学学报, 2004, 25(5): 658-661. doi: 10.3969/j.issn.1006-7043.2004.05.025WU S J, ZHANG J Z, ZHANG S. Research on beamforming of wide nulling algorithm[J]. Journal of Harbin Engineering University, 2004, 25(5): 658-661(in Chinese). doi: 10.3969/j.issn.1006-7043.2004.05.025 [21] 王海洋, 刘光斌, 范志良, 等. 一种针对GNSS接收机的宽零陷抗干扰算法[J]. 哈尔滨工业大学学报, 2019, 51(4): 94-98. doi: 10.11918/j.issn.0367-6234.201806097WANG H Y, LIU G B, FAN Z L, et al. A null widening anti-jamming algorithm for GNSS receivers[J]. Journal of Harbin Institute of Technology, 2019, 51(4): 94-98(in Chinese). doi: 10.11918/j.issn.0367-6234.201806097 [22] MA Y X, LU D, WANG W Y, et al. A high-dynamic null-widen GPS anti-jamming algorithm based on statistical model of the changing interference DOA[C]//China Satellite Navigation Conference (CSNC) 2014 Proceedings: Volume I. Berlin: Springer, 2014: 695-702. [23] YANG X P, LI S, LONG T, et al. Adaptive null broadening method in wideband beamforming for rapidly moving interference suppression[J]. Electronics Letters, 2018, 54(16): 1003-1005. doi: 10.1049/el.2018.1228 [24] 李鹏程, 顾杰, 李津, 等. 基于STAP的卫星导航零陷展宽抗干扰技术[J]. 电子信息对抗技术, 2021, 36(6): 14-17. doi: 10.3969/j.issn.1674-2230.2021.06.003LI P C, GU J, LI J, et al. Satellite navigation null broadening anti-Jamming technology based on STAP[J]. Electronic Information Warfare Technology, 2021, 36(6): 14-17(in Chinese). doi: 10.3969/j.issn.1674-2230.2021.06.003 [25] 夏国庆. 自适应阵列干扰抑制算法研究[D]. 成都:电子科技大学, 2020.XIA G Q. Researches of anti-interference algorithms based on adaptive arrays[D]. Chengdu: University of Electronic Science and Technology of China, 2020(in Chinese). [26] YANG J, LU J, LIU X, et al. Robust null broadening beamforming based on covariance matrix reconstruction via virtual interference sources[J]. Sensors, 2020, 20(7): 1865. [27] HINEDI S, STATMAN J I. High-dynamic GPS tracking: NASA-CR-184868[R]. Washington, D. C.: NASA, 1988.