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Large Array Null Steering Using Compressed Sensing
Khosravi, M ; Sharif University of Technology
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- Type of Document: Article
- DOI: 10.1109/LSP.2016.2580587
- Publisher: Institute of Electrical and Electronics Engineers Inc
- Abstract:
- 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
- Keywords:
- 5G ; Phased array ; Sparse recovery ; Antenna phased arrays ; Beamforming ; Interference suppression ; Signal reconstruction ; Beam-shaping algorithms ; Compressive sensing ; Interference rejection ; Lower-power consumption ; Peak-to-sidelobe ratio ; Perturbed elements ; Compressed sensing
- Source: IEEE Signal Processing Letters ; Volume 23, Issue 8 , 2016 , Pages 1032-1036 ; 10709908 (ISSN)
- URL: http://ieeexplore.ieee.org/document/7491215