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- W2950989867 abstract "The Co-Prime Sensor Array (CSA) is a sparse array geometry that has the drawback of generating grating lobes in passive beamforming. Grating lobe manifests itself as leakage in the spectral domain, distorting other weak spectral responses. To mitigate the effect of grating lobes, we propose a novel method based on null synthesis method under original mainlobe perturbation minimization constraint. In this paper, firstly, the angular location of the grating lobes in the CSA subarrays are analytically extracted. Then, using the proposed method, the grating lobes of the subarrays nulled by adaptive weighting of the CSA elements. The simulated results demonstrate that the side lobe levels (SLLs) and peak side lobe ratio (PSLR) in the power pattern obtained by the proposed method are better than the previous methods, so called product and min processors." @default.
- W2950989867 created "2019-06-27" @default.
- W2950989867 creator A5013591537 @default.
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- W2950989867 date "2019-02-01" @default.
- W2950989867 modified "2023-09-27" @default.
- W2950989867 title "A Novel Sidelobe Reduction Algorithm Based on Null Synthesis Method Under Mainlobe Perturbation Minimization Constraint for Co-Prime Sensor Array" @default.
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- W2950989867 doi "https://doi.org/10.1109/kbei.2019.8735080" @default.
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