A High Resolution Algorithm for Null Broadening Beamforming Based on Subspace Projection and Virtual Antenna Array
Keywords:
Array resolution, diagonal loading, null broadening beamforming, remove redundancy, subspace projection, virtual antenna arrayAbstract
In this paper, we proposed a high resolution algorithm for null broadening beamforming. The algorithm is based on the property of subspace orthogonal principle between signal and noise, and on virtual antenna array. By utilizing Capon spectrum estimator, we construct the correlation matrix to obtain projection transformation matrix, the width of null increases when original covariance matrix is processed by projection transformation matrix. In order to improve the depth of null and increase array resolution, virtual antenna technique is introduced. Also diagonal loading technique is used to form robust beam pattern. With the theoretical analysis and computer simulation, it’s demonstrated that the superiority of proposed algorithm corresponding other null broadening beamforming methods.
Downloads
References
W. X. Li, X. J. Mao, W. H. Yu, Y. S. Li, and C. Y. Yue, “Robust adaptive array beamforming based on modified norm constraint algorithm,” Applied Computational Electromagnetics Society Journal, vol. 29, pp. 1060-1066, 2014.
C. A. Valagiannopoulos and V. Kovanis, “Judicious distribution of laser emitters to shape the desired far-field patterns,” Phys. Rev. A, 2017.
S. Delikarismanias and V. Pulkki, “Optimal directional pattern design utilizing arbitrary microphone arrays: A continuous-wave approach,” Audio Engineering Society Convention, 2013.
R. J. Mailloux, “Covariance matrix augmentation to produce adaptive pattern troughs,” Electronics Letters, vol. 31, pp. 771-772, 1995.
M. Zatman, “Production of adaptive array troughs by dispersion synthesis,” Electronics Letters, vol. 31, pp. 2141-2142, 1995.
J. G. Guerci, “Theory and application of covariance matrix tapers for robust adaptive beamforming,” IEEE Transactions on Signal Processing, vol. 47, pp. 977-985, 1999.
A. Amar and M. A. Doron, “A linearly constrained minimum variance beamformer with a pre-specified suppression level over a pre-defined broad null sector,” Signal Processing, vol. 109, pp. 165-171, 2015.
W. X. Li, X. J. Mao, and Y. X. Sun, “A new algorithm for null broadening beamforming,” Journal of Electronics and Information Technology, vol. 36, pp. 2882-2888, 2014.
W. Li, Y. Li, and L. Guo, “An effective technique for enhancing anti-interference performance of adaptive virtual antenna array,” Applied Computational Electromagnetics Society Journal, vol. 26, pp. 234-240, 2011.
H. Deng, and B. Himed, “A virtual antenna beamforming (VAB) approach for radar systems by using orthogonal coding waveforms,” IEEE Transactions on Antennas and Propagation, vol. 57, pp. 425-435, 2009.
W. X. Li, X. J. Mao, Z. Q. Zhai, and Y. S. Li, “High performance robust adaptive beamforming in the presence of array imperfections,” International Journal of Antennas and Propagation, Article ID 3743509, 2016.
D. A. Pados and G. N. Karystinos, “An iterative algorithm for the computation of the MVDR filter,” Signal Processing IEEE Transactions on, vol. 49, no. 2, pp. 290-300, 2001.
W. Li and Y. Hang, “A novel algorithm for null broadening beamforming based on subspace projection and virtual antenna array,” International Applied Computational Electromagnetics Society Symposium, 2017.
