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Publications [#283532] of Qing H. Liu

Papers Published

  1. Yang, K; Zhao, Z; Liu, J; Huo Liu, Q, Robust adaptive beamforming using an iterative FFT algorithm, Signal Processing, vol. 96 no. PART B (January, 2014), pp. 253-260, Elsevier BV, ISSN 0165-1684 [doi]
    (last updated on 2023/08/08)

    Abstract:
    Adaptive beamformers will degrade in the presence of model mismatch. Because a wider beamwidth has higher ability against steering vector errors, and lower sidelobe levels can improve the robustness against fast moving interferences, in this work an iterative fast Fourier transform (FFT) based adaptive beamformer is proposed with constraints on beamwidth and peak sidelobe level. The adaptive beamforming is transformed to a weighted pattern synthesis problem. This weighted pattern is a product of the array pattern and a weighting function. Because the weighting function has shape peaks at the direction of interferences, it will have nulls in the array pattern at the directions of interferences by reducing the peak sidelobe level of this weighted pattern. A modified iterative FFT algorithm is proposed to synthesize this weighted pattern. Thanks to the efficiency of FFT, the nonconvex problem of power pattern synthesis can be solved efficiently. This method is demonstrated through several simulation examples. The results show the advantages of the proposed method in obtaining high output SINRs against moving target signals and steering vector errors. © 2013 Elsevier B.V.


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