Low-complexity DOA estimation method for a co-prime linear array
| Autor: | Xuchen Wu, Xiaopeng Yang, Bowen Han, Feng Xu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
signal processing
signal classification array signal processing direction-of-arrival estimation low-complexity doa estimation method co-prime linear array co-prime array sparse uniform linear sub-arrays inter-element spacing co-prime condition statistical signal processing phase ambiguity sparse array element spacing co-prime nature Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2019) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.0272 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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