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Content Provider | IET Digital Library |
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Author | Wu, Xuchen Yang, Xiaopeng Han, Bowen Xu, Feng |
Abstract | The problem of direction-of-arrival (DOA) estimation for a co-prime linear array is researched. A low-complexity DOA estimation method is proposed. The co-prime array is decomposed into two sparse uniform linear sub-arrays whose inter-element spacing meets the co-prime condition. Then the received signals of the two sub-arrays are processed for statistical signal processing. Although the DOA estimation based on the under-sampled signal will produce phase ambiguity, the sparse array element spacing that satisfies the co-prime condition makes the phase ambiguity have certain periodic rules. Finally, the unique solution corresponding to the true DOA can be obtained in the phase ambiguities of the two sub-arrays through the application of the co-prime nature. Simulation results validate the effectiveness of the proposed method. |
Starting Page | 6503 |
Ending Page | 6506 |
Page Count | 4 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 20, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0272 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-05-30 |
Access Restriction | Open |
Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
Subject Keyword | Array Signal Processing Co-prime Array Co-prime Condition Co-prime Linear Array Co-prime Nature Direction of Arrival Estimation Inter-element Spacing Low-complexity DOA Estimation Method Phase Ambiguity Signal Classification Signal Processing Signal Processing And Detection Signal Processing Theory Sparse Array Element Spacing Sparse Uniform Linear Sub-Array Statistical Signal Processing |
Content Type | Text |
Resource Type | Article |
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