[1]李洪涛,贺亚鹏,顾陈,等.基于压缩感知的单快拍自适应波束形成算法[J].南京理工大学学报(自然科学版),2012,36(01):91-95.
 LI Hong-tao,HE Ya-peng,GU Cheng,et al.Compressive Sensing Based Single-snapshot Adaptive Beamforming Algorithm[J].Journal of Nanjing University of Science and Technology,2012,36(01):91-95.
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基于压缩感知的单快拍自适应波束形成算法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
36卷
期数:
2012年01期
页码:
91-95
栏目:
出版日期:
2012-02-29

文章信息/Info

Title:
Compressive Sensing Based Single-snapshot Adaptive Beamforming Algorithm
作者:
李洪涛; 贺亚鹏; 顾陈; 朱晓华;
南京理工大学电子工程与光电技术学院;
Author(s):
LI Hong-taoHE Ya-pengGU ChengZHU Xiao-hua
School of Electric Engineering and Optoelectronic Technology,NUST,Nanjing 210094,China
关键词:
压缩感知 波束形成 单快拍 自适应
Keywords:
compressive sensing beamforming single-snapshot adaptive
分类号:
TN911.7
摘要:
针对空间干扰信号在空域内稀疏的特性,提出一种单快拍自适应波束形成算法。首先建立一种压缩感知阵列模型,并验证其感知矩阵满足约束等容条件,然后采用丹茨格估计算法在单快拍下重构干扰信号矩阵,最后利用干扰预处理技术形成有效波束。仿真结果表明该算法可在少量的前端通道数和单快拍下对任意相干性的干扰信号进行有效抑制,且无需估计干扰个数,并提高了波束形成输出的信干噪比,验证了算法的有效性和优越性。
Abstract:
Considering sparsity of the spatial interferences,a novel compressive sensing(CS)based single-snapshot adaptive beamforming(CS-SAB)algorithm is presented.The proposed algorithm builds an array module based on the CS,in which the sensing matrix is verified to satisfy the restricted isometry property(RIP).The interference matrix is recovered by Danzing Selector(DS)algorithm with only one snapshot,and at last the beam can be formed by the preprocessing technology.Simulation results show that the proposed algorithm can suppress interferences with any coherence under the condition of few former channels and only one snapshot,needing no estimation of the number of spatial interferences,and improving the output signal to interference plus noise ratio(SINR),thus confirming the validity and superiority of the proposed algorithm.

参考文献/References:

[1] Veen B D V,Bucklev K M. Beamforming: A versatile approach to spatial filtering[J]. IEEE ASSP Magazine, 1988,5 ( 2) : 4-24.
[2] 张宇,王建新. MIMO 雷达发射波束形成技术研究[J]. 南京理工大学学报, 2008, 32( 3) : 356-359.
[3] Capon J. High-resolution frequency-wave number spectrum analysis[J]. Proceedings of IEEE,1969,57 ( 8 ) : 1408-1418.
[4] Widrow B,Mantey P E,Griffiths L J. Adaptive antenna systems[J]. Proceedings of IEEE,1967,55 ( 12 ) : 2143-2159.
[5] 李洪涛,顾陈,朱晓华,等. 冲击噪声背景下归一化广义旁瓣相消器[J]. 南京理工大学学报,2011, 35( 5) : 677-680.
[6] Griffiths L J, Jim C W. An alternative approach to linearly constrained adaptive beamforming [J]. IEEE Transactions on Antennas and Propagation,1982, 30( 1) : 27-34.
[7] 李洪涛,贺亚鹏,朱晓华,等. 基于特征向量的线性约束最小方差自适应方向图控制[J]. 南京理工大学学报, 2011, 35( 4) : 529-533.
[8] Candès E J,Romberg J,Tao T. Robust uncertainty princi-ples: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52( 2) : 489-509.
[9] Candès E J,Romberg J,Tao T. Stable signal recovery from incomplete and inaccurate measurements[J]. Communications on Pure and Applied Mathematics, 2006, 59( 8) : 1207-1223.
[10] Candès E J. Compressive sampling[A]. Proceedings of ICM2006[C]. Madrid,Spain: Association International Congress of Mathematicians, 2006: 1433-1452.
[11] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52( 4) : 1289-1306.
[12] Candès E J,Wakin M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine,2008, 25( 2) : 21-30.
[13] Romberg J. Imaging via compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25( 2) : 14-20.
[14] Paredes J I,Arce G R,Wang Z M. Ultra-wideband compressed sensing: Channel estimation [J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1( 3) : 383-395.
[15] Potter L C,Ertin E,Parker J T, et al. Sparsity and compressed sensing in radar imaging[J]. Proceedings of the IEEE, 2010, 98( 6) : 1006-1020.
[16] 贺亚鹏,王克让,张劲东,等. 基于压缩感知的伪随机多相码连续波雷达[J]. 电子与信息学报,2011, 33( 2) : 418-423.
[17] Tello A M,López-Dekker F,Mallorquí J J. A novel strategy for radar imaging based on compressive sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48( 9) : 1-11.
[18] Gurbuz A C,McClellan J H,Scott W R. A compressive sensing data acquisition and imaging method for stepped frequency GPRs[J]. IEEE Transactions on Signal Processing, 2009, 57( 7) : 2640-2650.
[19] Suksmono A B,Bharata E,Lestari A A, et al. Compressive stepped-frequency continuous-wave ground-penetrating radar[J]. IEEE Geoscience and Remote Sensing Letters, 2010,7 ( 4) : 665-669.
[20] 贺亚鹏,朱晓华,庄珊娜,等. 压缩感知雷达波形优化设计[J]. 南京理工大学学报, 2011, 35( 4) : 529-533.
[21] Malioutov D,Cetin M,Willsky A S. A sparse signal reconstruction perspective for source localization with sensor arrays[J]. IEEE Transactions on Signal Processing, 2005, 53( 8) : 3010-3022.
[22] Gurbuz A C,McClellan J H. A compressive beamforming method[A]. IEEE International Conference on Acoustics, Speech and Signal Processing[C]. Las Vegas,USA: IEEE Press, 2008: 2617-2620.
[23] Chen S S,Donoho D L,Saunders M A. Atomic decomposition by basis pursuit[J]. SIAM Review,2001,43 ( 1) : 129-159.
[24] 李洪涛,贺亚鹏,朱晓华,等. 基于变换矩阵的自适应方向图控制[J]. 科技导报, 2011, 29( 5) : 41-45.

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备注/Memo

备注/Memo:
南京理工大学自主科研专项计划(2010ZYTS028);南京理工大学科研启动基金(2010ZDJH05)
更新日期/Last Update: 2012-10-12