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Sparse optimization for weight coefficient of wideband frequency invariant beamforming
Received date: 2016-09-18
Revised date: 2016-12-13
Online published: 2017-01-18
Supported by
National Natural Science Foundation of China (61401207);Key Projects Foundation of Shanghai Aerospace (SAST201437);College Graduate Scientific Research Innovation Fund in Jiangsu Province of China (KYZZ16_0187)
To reduce the computational complexity of the basic Fourier transform frequency invariant beamforming (FIB), the sparse optimization for tap weights of the FIB is proposed based on minimum l0 norm. The optimization is solved by the orthogonal matching pursuit (OMP)., With the proposed method, the sparse rate of the effective tap weights decreases to 3.53% when the relative error of the FIB beam pattern is less than 1%. At the same time, the beam patterns of FIB synthesized by sparse tap weights can hold high gain, equiripple and low sidelobes. To reduce the number of tapped delay lines (TDLs), the sparse optimization for the TDLs is also presented, which effectively decreases the number of sensor elements, and reduces the implementation complexity. The simulation results verify the correctness and effectiveness of the proposed method.
ZHANG Shurui , MA Xiaofeng , SHENG Weixing , HAN Yubing . Sparse optimization for weight coefficient of wideband frequency invariant beamforming[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017 , 38(7) : 320794 -320794 . DOI: 10.7527/S1000-6893.2017.320794
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