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Interferometric DOA Estimation Based on Shift Invariance Subarrays for Suppressing Mainlobe Jamming
Received date: 2013-01-29
Revised date: 2013-05-12
Online published: 2013-05-27
Supported by
National Basic Research Program of China (2011CB707001);National Natural Science Foundation of China for Youth (61101243); National Natural Science Foundation of China (60971108); Key Laboratory Fund (9140C***0104); Pre-research Fund (9140A***0126)
To deal with the problem of target direction of arrival (DOA) estimation in the presence of mainlobe jamming, a novel method for adaptive interferometric DOA estimation by using subarray shift invariance has been proposed. First, the planar array is divided into up and down subarrays satisfying that one can be overlaped to the other by shift; second, the covariance matrices corresponding to up and down subarays are calculated with training samples and eigenvectors are obtained by eigen decompositions of the two covariance matrices, respectively; third, adaptive up and down weight vectors are obtained by the projection of beam direction vector onto orthogonal subspaces of interfences, respectively; fourth, elevation angle can be estimated by interferometric processing between up and down outputs of anti-jamming; finally, azimuth angle can be achieved by similar processing between right and left subarrays. It is proved that DOA estimations have nothing to do with adaptive beam distortions. Compared with other methods, the proposed method has a better performance of interference suppression and a higer precision of DOA estimation. Results of measured and simulated data demonstrate the effectiveness and superiority of the proposed method.
LI Jing , ZENG Cao , LIAO Guisheng , TAO Haihong , ZHAO Yuannan . Interferometric DOA Estimation Based on Shift Invariance Subarrays for Suppressing Mainlobe Jamming[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(12) : 2804 -2814 . DOI: 10.7527/S1000-6893.2013.0257
[1] Liu Z R. The development of shipborne active phased-array radar. Information Command Control System & Simulation Technology, 2005, 27(1): 82-88. (in Chinese) 刘占荣. 舰载有源相控阵雷达的发展现状. 情报指挥控制系统与仿真技术, 2005, 27(1): 82-88.
[2] Zhang Z Q, Liu L P. Preliminary application of phased array technology in weather radar. Plateau Meteorology, 2011, 30(4): 1102-1107. (in Chinese) 张志强, 刘黎平. 相控阵技术在天气雷达中的初步应用. 高原气象, 2011, 30(4): 1102-1107.
[3] Seghouane A. A Kullback-Leibler methodology for unconditional ML DOA estimation in unknown nonuniform noise. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(4): 3012-3021.
[4] He J, Swamy M N S, Ahmad M O. Efficient application of MUSIC algorithm under the coexistence of far-field and near-field sources. IEEE Transactions on Signal Processing, 2012, 60(4): 2066-2070.
[5] Somasundaram S D. Linearly constrained robust Capon beamforming. IEEE Transactions on Signal Processing, 2012, 60(11): 5845-5856.
[6] Zheng G M, Chen B X, Yang M L. Unitary ESPRIT algorithm for bistatic MIMO radar. Electronics Letters, 2012, 48(3): 179-181.
[7] Wang K R, He J, He Y P, et al. RTR-ESPRIT for joint DOD and DOA estimation for MIMO radars. Acta Aeronautica et Astronautica Sinica, 2012, 33(5): 893-901. (in Chinese) 王克让, 何劲, 贺亚鹏, 等. MIMO雷达DOD和DOA联合估计算法:RTR-ESPRIT. 航空学报, 2012, 33(5): 893-901.
[8] Hu N, Ye Z F, Xu D Y. A sparse recovery algorithm for DOA estimation using weighted subspace fitting. Signal Processing, 2012, 92(10): 2566-2570.
[9] You H, Huang J G. Analysis of subspace projection DOA algorithms and synthetic spectrum. Acta Aeronautica et Astronautica Sinica, 2008, 29(5): 1334-1339. (in Chinese) 游鸿, 黄建国. 子空间投影DOA估计算法分析及合成空间谱. 航空学报, 2008, 29(5): 1334-1339.
[10] Xu Q, Liao G S, Zhang J, et al. An estimation method for MIMO radar gain and phase errors. Acta Aeronautica et Astronautica Sinica, 2012, 33(3): 530-536. (in Chinese) 徐青, 廖桂生, 张娟, 等. 一种MIMO雷达幅相误差估计方法. 航空学报, 2012, 33(3): 530-536.
[11] Xu L, Zeng C, Liao G S, et al. DOA and source number estimation method for strong and weak signals based on eigen beamforming. Journal of Electronics & Information Technology, 2011, 33(2): 321-325. (in Chinese) 徐亮, 曾操, 廖桂生, 等. 基于特征波束形成的强弱信号波达方向与信源数估计方法. 电子与信息学报, 2011, 33(2): 321-325.
[12] Zeng C, Chen H, He X H, et al. Angle estimation using sum-difference multiple beamforming based on phased array at subarray level. Journal of Xidian University, 2013, 40(1): 21-30. (in Chinese) 曾操, 陈昊, 何学辉, 等. 相控阵子阵级和差多波束测角方法. 西安电子科技大学学报, 2013, 40(1): 21-30.
[13] Mohammed J R. A new technique for obtaining wide-angular nulling in the sum and difference patterns of monopulse antenna. IEEE Antennas and Wireless Propagation Letters, 2012, 11: 1245-1248.
[14] Hu H, Liu W H. The approach suppressing sidelobe of sum beam and different beam only adopting one kind of analog weighting. Journal of Electronics & Information Technology, 2009, 31(4): 973-976. (in Chinese) 胡航, 刘伟会. 只利用一种模拟加权的子阵级和差波束旁瓣抑制方法. 电子与信息学报, 2009, 31(4): 973-976.
[15] Hu H, Wang Z X, Liu W H, et al. Two-stage subarray level weighting approach for phased array. Chinese Journal of Radio Science, 2009, 24(6): 1038-1043. (in Chinese) 胡航, 王泽勋, 刘伟会, 等. 相控阵的两级子阵级加权方法研究. 电波科学学报, 2009, 24(6): 1038-1043.
[16] Nickel U RO. Monopulse estimation with adaptive arrays. IEE Proceeding F(Radar and Signal Processing), 1993, 140(5): 303-308.
[17] Nickel U RO. Monopulse estimation with subarray-adaptive arrays and arbitrary sum and difference beams. IEE Proceeding-Radar, Sonar & Navigation, 1996, 143(4): 232-238.
[18] Nickel U RO, Chaumette E, Larzabal P. Statistical performance prediction of generalized monopulse estimation. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(1): 381-404.
[19] Liu H W, Zhang S H. Linearly constrained adaptive monopulse estimation algorithm for planar array. Journal of Electronics & Information Technology, 2001, 23(3): 275-279. (in Chinese) 刘宏伟, 张守宏. 平面阵线性约束自适应单脉冲测角算法. 电子与信息学报, 2001, 23(3): 275-279.
[20] Hu H, Zhang H. An improved two-stage processing approach of adaptive monopulse at subarray level. Acta Electronica Sinica, 2009, 37(9): 1996-2003. (in Chinese) 胡航, 张皓.一种改进的两级子阵级自适应单脉冲方法.电子学报, 2009, 37(9): 1996-2003.
[21] He Y D, Zhou J, Zhou B H. Adaptive sum and difference beamforming for monopulse system with array antennas. 2010 6th International Conference on Wireless Communications Networking and Mobile Computing, 2010: 1-5.
[22] Kong Y F, Zeng C, Liao G S, et al. A new reduced-dimension GSC for target tracking and interference suppression. 2011 CIE International Conference on Radar, 2011: 785-788.
[23] Wong K T, Yuan X. "Vector cross-product direction-finding" with an electromagnetic vector-sensor of six orthogonally oriented but spatially noncollocating dipoles/loops. IEEE Transactions on Signal Processing, 2011, 59(1): 160-171.
[24] Luo F, Yuan X. Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array. EURASIP Journal on Advances in Signal Processing, 2012, 2012(1): 1-11.
[25] Wang C, Qiu X B, Wei J L. Research of the direction finding by using phase interference based on 2.4 GHz radio waves. Journal of Test & Measurement Technology, 2011, 25(4): 305-307. (in Chinese) 王聪, 邱选兵, 魏计林. 2.4 GHz无线电波的相位干涉测向研究. 测试技术学报, 2011, 25(4): 305-307.
[26] Zhang X D. Matrix analysis and applications. Beijing: Tsinghua University Press, 2004: 474-478. (in Chinese) 张贤达. 矩阵分析与应用. 北京: 清华大学出版社, 2004: 474-478.
[27] Trees H L V. Optimum array processing part IV of detection, estimstion and modulation. Tang translated. Beijing: Tsinghua University Press, 2008: 4-7. (in Chinese) Trees H L V. 最优阵列处理技术. 汤俊译. 北京: 清华大学出版社, 2008: 4-7.
[28] Zhang J. Robust array sources number estimation and application research. Xi'an: School of Electronic Engineering, Xidian University, 2005. (in Chinese) 张杰. 稳健的阵列参数估计及应用研究. 西安: 西安电子科技大学电子工程学院, 2005.报, 2011. 25(4): 305-307.
WANG Cong, QIU Xuanbing, WEI Jilin. Research of the Direction Finding by Using Phase Interference Based on 2.4GHz Radio Waves[J]. Journal of Test & Measurement Technology, 2011. 25(4): 305-307. (in Chinese)
[26] 张贤达. 矩阵分析与应用[M]. 北京: 清华大学出版社, 2004: 474-478.
ZHANG Xianda. Matrix Analysis and Applications[M]. Beijing: Tsinghua University Press, 2004: 474-478. (in Chinese)
[27] H.L. Van Trees. 最优阵列处理技术[M]. 汤俊等译. 北京: 清华大学出版社, 2008: 4-7.
H.L. Van Trees. Optimum Array Processing Part IV of Detection,Estimstion and Modulation[M]. TANG Jun e.t. translated. Beijing: Tsinghua University Press, 2008: 4-7. (in Chinese)
[28] 张杰. 稳健的阵列参数估计及应用研究[D]. 西安: 西安电子科技大学电子工程学院, 2005.
ZHANG Jie. Robust Array Sources Number Estimation and Application Research[D]. Xi’an: School of Electronic Engineering, Xidian University, 2005. (in Chinese)
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