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Large Array Null Steering Using Compressed Sensing
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DOI：10.1109/LSP.2016.2580587.png)
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摘要
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In this letter, array null steering is formulated as a sparse recovery problem. In addition, a novel null steering scheme for large arrays by perturbing only a few elements is presented. To achieve this goal, compressed sensing (CS) is used to exploit the sparsity of the perturbed elements. The advantages of the proposed scheme are a significant reduction in hardware cost and lower power consumption, as well as less aging of the elements and faster response. Simulation results show that the CS-based method could be efficiently used to generate wide nulls using at least two elements. The interference rejection ratio achieved by the proposed method is 10-20 dB better than the existing solutions. The performance of different null generation methods in terms of peak-to-sidelobe ratio, pointing error, and beam-width is compared as well. The proposed algorithm is a prominent solution for the future 5G base stations, where a fast and low-cost beam shaping algorithm is required.
Keyword:
5G
beamforming
compressed sensing(CS)
interference suppression
null steering
phased array
sparse recovery
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9.6
论文数:
1.1W
被引数:
1.7W
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