Name
Title | ||
|---|---|---|
DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance |
Abstract | ||
|---|---|---|
Direction of Arrival (DOA) estimation is one of the major tasks in array signal processing. In this paper, a new DOA estimation method is proposed using a rotational uniform linear array (RULA) consisting of omnidirectional sensors. The main contribution of the proposed method is that the number of distinguishable signals is larger than the methods in the literature with a uniform linear array consisting of the same number of omnidirectional sensors. Moreover, the new method can effectively reduce unknown spatial noises using a generalized complement projection matrix under the RULA framework. Simulations are presented to illustrate the effectiveness of the proposed method and comparison with some existing DOA estimation methods is also made. |
Year | DOI | Venue |
|---|---|---|
2018 | https://doi.org/10.1007/s11045-016-0425-0 | Multidim. Syst. Sign. Process. |
Keywords | Field | DocType |
Direction of arrival,Array signal processing,Rotational arrays,Unknown spatial noise covariance | Signal processing,Omnidirectional antenna,Mathematical optimization,Direction of arrival,Sensor array,Algorithm,Projection (linear algebra),Speech recognition,Mathematics,Covariance | Journal |
Volume | Issue | ISSN |
29 | 2 | 0923-6082 |
Citations | PageRank | References |
1 | 0.36 | 17 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianshu Li | 1 | 141 | 12.04 |
| Zhiping Lin | 2 | 5 | 2.15 |
| Sirajudeen Gulam Razul | 3 | 96 | 14.41 |
| A. Anil Kumar | 4 | 9 | 1.97 |
| Yuanjin Zheng | 5 | 328 | 72.86 |
| Chong Meng Samson See | 6 | 175 | 19.41 |