一种稳健的多主瓣干扰抑制方法

doi:10.3969/j.issn.1001-506X.2020.03.006

Abstract

Abstract:

When the desired signal is present in the training data, the traditional mainlobe interference suppression algorithm based on eigen-projection matrix preprocessing (EMP) will cause severe degradation. This is because the eigen beam corresponding to the mainlobe interference is prone to peak shift under the disturbance of the desired signal, which makes the mainlobe interference difficult to completely remove, especially when multiple mainlobe interferences exist. In this paper, the interference plus noise covariance matrix is reconstructed by estimating the signal and noise power and zeroing the desired signal power, so that the influence of the desired signal is eliminated and the mainlobe interference can be fully removed. The mainlobe interference power is further set to zero, and the sidelobe interference plus noise covariance matrix is used for beamforming. The array pattern can form a deeper null in the direction of sidelobe interference than the covariance matrix reconstruction method. Simulation results show that the proposed method can effectively suppress multiple mainlobe interferences and possesses good robustness.

Key words: multiple mainlobe interferences suppression, eigen-projection matrix preprocessing (EMP), power estimation, adaptive beamforming

CLC Number:

TN972

Zhuo CHEN, Weimin JIA, Wei JIN, Fenggan ZHANG. Robust multiple mainlobe interferences suppression method[J]. Systems Engineering and Electronics, 2020, 42(3): 544-549.

Figures/Tables 8

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References 28

1	宋虎, 顾红, 王建, 等. 主瓣干扰下的自适应旁瓣对消算法设计[J]. 系统工程与电子技术, 2015, 37 (8): 1723- 1728.
	SONG H , GU H , WANG J , et al. Adaptive multiple side-lobe canceller design for main-lobe jammer[J]. Systems Engineering and Electronics, 2015, 37 (8): 1723- 1728.
2	LI J , CHEN X , YI W , et al. Eigenspace-based generalized sidelobe canceller beamforming applied to medical ultrasound imaging[J]. Sensors, 2016, 16 (8): 1192. doi: 10.3390/s16081192
3	CHEN S , SUN S , GAO Q , et al. Adaptive beamforming in TDD- based mobile communication systems: state of the art and 5G research directions[J]. IEEE Wireless Communications, 2017, 23 (6): 81- 87.
4	TAN Z , JIA W , JIN W . Robust adaptive beamforming using k-means clustering: a solution to high complexity of the reconstruction-based algorithm[J]. Radioengineering, 2018, 27 (2): 595- 601. doi: 10.13164/re.2018.0595
5	TIDWELL M , BUCK J R . Experimental investigation of the unit circle minimum variance distortionless response adaptive beamformer[J]. Acoustical Society of America Journal, 2017, 142 (4): 2588- 2588.
6	LIU J , LIU W , LIU H , et al. Average SINR calculation of a persymmetric sample matrix inversion beamformer[J]. IEEE Trans.on Signal Processing, 2016, 64 (8): 2135- 2145. doi: 10.1109/TSP.2015.2512527
7	PATEL D N, MAKWANA B J, PARMAR P B. Comparative analysis of adaptive beamforming algorithm LMS, SMI and RLS for ULA smart antenna[C]//Proc.of the International Conference on Communication and Signal Processing, 2016: 1029-1033.
8	LI Y , MA H , CHENG L . Iterative robust adaptive beamforming[J]. Eurasip Journal on Advances in Signal Processing, 2017, 2017 (1): 58. doi: 10.1186/s13634-017-0493-9
9	WANG X, XIE J, HE Z. Robust sidelobe canceller against DOA mismatch[C]//Proc.of the IEEE China Summit and International Conference on Signal and Information Processing, 2015: 310-313.
10	WEN J , ZHOU X , LIAO B , et al. Adaptive beamforming in an impulsive noise environment using matrix completion[J]. IEEE Communications Letters, 2018.
11	TULADHAR S R , BUCK J R . Double zero minimum variance distortionless response beamformer[J]. Journal of the Acoustical Society of America, 2015, 138 (3): 1926- 1926.
12	XU W , XIE J , HE Z , et al. A robust generalized sidelobe canceller via steering vector estimation[J]. Eurasip Journal on Advances in Signal Processing, 2016, 2016 (1): 59. doi: 10.1186/s13634-016-0358-7
13	LI X , WANG D , MA X . Robust adaptive beamforming using iterative variable loaded sample matrix inverse[J]. Electronics Letters, 2018, 54 (9): 546- 548. doi: 10.1049/el.2018.0190
14	MENG Z , ZHOU W . Robust adaptive beamforming using iterative adaptive approach[J]. Journal of Electromagnetic Waves and Applications, 2018, (2): 1- 16.
15	YANG X , YIN P , TAO Z , et al. Applying auxiliary array to suppress mainlobe interference for ground-based radar[J]. IEEE Antennas & Wireless Propagation Letters, 2013, 12 (2): 433- 436.
16	苏保伟, 王永良, 李荣峰, 等. 阻塞矩阵方法对消主瓣干扰[J]. 系统工程与电子技术, 2005, 27 (11): 1830- 1832. doi: 10.3321/j.issn:1001-506X.2005.11.004
	SU B W , WANG Y L , LI R F , et al. Mainlobe interference cancelling method via block matrix[J]. Systems Engineering and Electronics, 2005, 27 (11): 1830- 1832. doi: 10.3321/j.issn:1001-506X.2005.11.004
17	YANG J , LIU C . Improved mainlobe interference suppression based on blocking matrix preprocess[J]. Journal of Electrical and Computer Engineering, 2015.
18	LI R F , WANG Y L , WAN S . Robust adaptive beam forming under main lobe interference conditions[J]. Systems Engineering and Electronics, 2002, 24 (7): 61- 64.
19	YANG X , ZHANG Z , TAO Z , et al. Mainlobe interference suppression based on eigen-projection processing and covariance matrix reconstruction[J]. IEEE Antennas & Wireless Propagation Letters, 2014, 13, 1369- 1372.
20	QIAN J, HE Z, JIA F, et al. Mainlobe interference suppression in adaptive array[C]//Proc.of the International Conference on Signal Processing, 2017: 470-474.
21	WANG Y , BAO Q , CHEN Z . Multiple mainlobe interferences suppression based on subspace matrix filtering and covariance matrix reconstruction[J]. Journal of Applied Remote Sensing, 2016, 10 (3): 035008. doi: 10.1117/1.JRS.10.035008
22	QIAN J , HE Z . Mainlobe interference suppression with eigenprojection algorithm and similarity constraints[J]. Electronics Letters, 2016, 52 (3): 228- 230. doi: 10.1049/el.2015.2951
23	WANG Y , BAO Q , CHEN Z . Robust mainlobe interference suppression for coherent interference environment[J]. Eurasip Journal on Advances in Signal Processing, 2016, 2016 (1): 135. doi: 10.1186/s13634-016-0434-z
24	王伟, 李壮, 姜维, 等. 基于凸约束下泰勒估计的主瓣干扰抑制算法[J]. 系统工程与电子技术, 2018, 40 (11): 16- 22.
	WANG W , LI Z , JIANG W , et al. Mainlobe interference suppression based on the convex constrained Tyler's estimator[J]. Systems Engineering and Electronics, 2018, 40 (11): 16- 22.
25	梁雪妮.阵列雷达抗主瓣干扰方法研究[D].西安:西安电子科技大学, 2017.
	LIANG X N. Research on mainlobe interference suppression in array radar[D]. Xidian: Xidian University, 2017.
26	侯帅, 潘伟. 未知信源数条件下基于合成空间谱的弱信号DOA估计方法[J]. 华东师范大学学报(自然科学版), 2013, (6): 102- 111.
	HOU S , PAN W . Weak signal DOA estimation method based on synthetic spectrum without prior knowledge of source number[J]. Journal of East China Normal University, 2013, (6): 102- 111.
27	钱君辉.阵列雷达抗干扰算法与性能研究[D].成都:电子科技大学, 2018.
	QIAN J H. Research on anti-interference algorithm and performance of array radar[D]. Chengdu: University of Electronic Science and Technology of China, 2018.
28	SUN Y , BABU P , PALOMAR D P . Robust estimation of structured covariance matrix for heavy-tailed elliptical distributions[J]. IEEE Trans.on Signal Processing, 2016, 64 (14): 3576- 3590. doi: 10.1109/TSP.2016.2546222

方法	SINCM重构	协方差重构
峰值旁瓣/dB	-13.02	-13.03
-25°零陷深度/dB	-84.37	-62.43
35°零陷深度/dB	-106.10	-83.50
主瓣宽度/(°)	6	6
主波束偏移量/(°)	0	0

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[8]	SONG Zhi-jie, WANG Liang. Time-domain adaptive beamforming and parameters estimation on single Chirp pulses [J]. Journal of Systems Engineering and Electronics, 2012, 34(8): 1592-1596.
[9]	ZHAO Hong-wei, LIAN Bao-wang, FENG Juan. Adaptive beamforming algorithm for space-time interference suppression in GNSS receivers [J]. Journal of Systems Engineering and Electronics, 2012, 34(7): 1312-1317.
[10]	LIU Cong-feng, LIAO Gui-sheng. Analysis and solution for double constraint robust Capon beamforming algorithm [J]. Journal of Systems Engineering and Electronics, 2011, 33(3): 477-481.
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