APG-MUSIC Algorithm Based on Sparse Sampling Array Optimization

SONG Hu; JIANG Naiti; LIU Rong; LI Hongtao

doi:10.11999/JEIT170807

Volume 40 Issue 6

May 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(6): 1390-1396

SONG Hu, JIANG Naiti, LIU Rong, LI Hongtao. APG-MUSIC Algorithm Based on Sparse Sampling Array Optimization[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1390-1396. doi: 10.11999/JEIT170807

Citation:

SONG Hu, JIANG Naiti, LIU Rong, LI Hongtao. APG-MUSIC Algorithm Based on Sparse Sampling Array Optimization[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1390-1396. doi: 10.11999/JEIT170807

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APG-MUSIC Algorithm Based on Sparse Sampling Array Optimization

doi: 10.11999/JEIT170807

1.
2.
(School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

Funds:

The National Natural Science Foundation of China (61401204), The Postdoctoral Science Foundation (2016M601813), The Science and Technology Project of Jiangsu Province (BY2015004-03)

Received Date: 2017-08-14
Rev Recd Date: 2018-01-22
Publish Date: 2018-06-19

Abstract

Abstract

A novel Two Dimension Direction Of Arrive (2D-DOA) estimation method based on sparse sampling array optimization is proposed, which is combined with Accelerated Proximal Gradient (APG) and MUltiple SIgnal Classification (MUSIC). First, a 2D-DOA estimation signal model for sparse array is established, and its low rank feature and Null Space Property (NSP) are analyzed. Then, a sparse sampling array optimization method based on Genetic Algorithm (GA) is studied to enhance the performance of Matrix Completion (MC) and DOA. Finally, APG and MUSIC are employed to reconstruct the received signal matrix and estimate the direction of wave arrived, respectively. Computer simulation results show that the proposed method improves the utilization rate of array and reduces the average side lobe of spatial spectrum effectively, compared with the conventional 2D-DOA methods.
- Sparse sampling array optimization,
- Matrix Completion (MC),
- Two-Dimension DOA (2D-DOA),
- Genetic Algorithm (GA)

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References(22)

References

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