Robust LCMV Beamformer for Direction of Arrival Mismatch Without Beam Broadening

In this work, we propose a new and efficient algorithm to mitigate the signal look direction error problem in adaptive beamforming without broadening the main beam. The algorithm exploits a reference lobe in the region of signal look direction error. This reference lobe is the main beam of the generalized sidelobe canceller when there is no direction of arrival mismatch for the desired signal. The desired pattern is forced to follow the reference beam in the region of signal look direction error by utilizing multiple additional constraints. Simulations are performed in MATLAB to check and test the validity of the proposed algorithm on the basis of different scenarios.

[1]  A. Elnashar,et al.  Further Study on Robust Adaptive Beamforming With Optimum Diagonal Loading , 2006, IEEE Transactions on Antennas and Propagation.

[2]  Zhi-Quan Luo,et al.  Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem , 2003, IEEE Trans. Signal Process..

[3]  K. Gerlach,et al.  Combined Multistatic Adaptive Pulse Compression and Adaptive Beamforming for Shared-Spectrum Radar , 2007, IEEE Journal of Selected Topics in Signal Processing.

[4]  Renbiao Wu,et al.  A Novel Diagonal Loading Method for Robust Adaptive Beamforming , 2011 .

[5]  Sangarapillai Lambotharan,et al.  Robust downlink beamforming using positive semi-definite covariance constraints , 2008, 2008 International ITG Workshop on Smart Antennas.

[6]  Tasawar Hayat,et al.  Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems , 2017, Soft Comput..

[7]  Omar Abu Arqub,et al.  Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations , 2017, Neural Computing and Applications.

[8]  Jian Li,et al.  Fully Automatic Computation of Diagonal Loading Levels for Robust Adaptive Beamforming , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Petre Stoica,et al.  Robust Adaptive Beamforming: Li/Robust Adaptive Beamforming , 2005 .

[10]  Ijaz Mansoor Qureshi,et al.  Independent null steering by decoupling complex weights , 2011, IEICE Electron. Express.

[11]  Raja Muhammad Asif Zahoor,et al.  Design of Bio-inspired Heuristic Techniques Hybridized with Sequential Quadratic Programming for Joint Parameters Estimation of Electromagnetic Plane Waves , 2017, Wirel. Pers. Commun..

[12]  Lloyd J. Griffiths,et al.  Quiescent pattern control in linearly constrained adaptive arrays , 1987, IEEE Trans. Acoust. Speech Signal Process..

[13]  Fawad Zaman,et al.  Joint Angle-Amplitude Estimation for Multiple Signals with L-Structured Arrays Using Bioinspired Computing , 2017, Wirel. Commun. Mob. Comput..

[14]  Bruno Borloz,et al.  An iterative method using conditional second-order statistics applied to the blind source separation problem , 2004, IEEE Transactions on Signal Processing.

[15]  Tasawar Hayat,et al.  Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method , 2015, Soft Computing.

[16]  Henry Cox,et al.  Robust adaptive beamforming , 2005, IEEE Trans. Acoust. Speech Signal Process..

[17]  Martin Glavin,et al.  TRANSMITTER-GROUPING ROBUST CAPON BEAM- FORMING FOR BREAST CANCER DETECTION , 2010 .

[18]  Chih-Wei Jen,et al.  Robust Adaptive Array Beamforming Based on Independent Component Analysis with Regularized Constraints , 2007, IEICE Trans. Commun..

[19]  L. J. Griffiths,et al.  A unified approach to the design of linear constraints in minimum variance adaptive beamformers , 1992 .

[20]  Yang-Ho Choi Null Space Projection Based Adaptive Beamforming in the Presence of Array Imperfections , 2009, IEICE Trans. Commun..

[21]  P. P. Vaidyanathan,et al.  Quadratically Constrained Beamforming Robust Against Direction-of-Arrival Mismatch , 2007, IEEE Transactions on Signal Processing.