Wideband Adaptive Beamforming Algorithm for Conformal Arrays Based on Sparse Covariance Matrix Reconstruction

Pei CHEN  Dexiu HU  Yongjun ZHAO  Chengcheng LIU  

Publication
IEICE TRANSACTIONS on Communications   Vol.E101-B   No.2   pp.548-554
Publication Date: 2018/02/01
Publicized: 2017/08/22
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016EBP3495
Type of Manuscript: PAPER
Category: Antennas and Propagation
Keyword: 
wideband adaptive beamforming,  conformal arrays,  sparse reconstruction,  second-order cone programming,  

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Summary: 
Aiming at solving the performance degradation caused by the covariance matrix mismatch in wideband beamforming for conformal arrays, a novel adaptive beamforming algorithm is proposed in this paper. In this algorithm, the interference-plus-noise covariance matrix is firstly reconstructed to solve the desired signal contamination problem. Then, a sparse reconstruction method is utilized to reduce the high computational cost and the requirement of sampling data. A novel cost function is formulated by the focusing matrix and singular value decomposition. Finally, the optimization problem is efficiently solved in a second-order cone programming framework. Simulation results using a cylindrical array demonstrate the effectiveness and robustness of the proposed algorithm and prove that this algorithm can achieve superior performance over the existing wideband beamforming methods for conformal arrays.