Name
Abstract | ||
|---|---|---|
Accurate direction of arrival (DOA) estimation with one-bit quantized data is of considerable interest in the array signal processing community. This paper addresses a robust one-bit DOA estimation by using sparse covariance fitting in the presence of non-uniform noise whose covariance matrix is not identical diagonal. First, considering arbitrary array structure, a one-bit signal model under non-uniform noise is formulated. Then, with the help of Arcsine law and Khatri-Rao product operation, the unquantized covariance matrix with normalization is column-wise vectorized, then the variances of noise are eliminated by a linear transformation. After that, the one-bit DOA estimation problem is formulated as an optimization of robust sparse covariance fitting which can be solved easily. Experimental results show that the proposed algorithm outperforms the state-of-the-art approaches in terms of root mean square error (RMSE). |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/SAM53842.2022.9827884 | 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM) |
Keywords | DocType | ISSN |
One-bit,direction of arrival (DOA),sparse covariance fitting,non-uniform noise | Conference | 1551-2282 |
ISBN | Citations | PageRank |
978-1-6654-0634-5 | 0 | 0.34 |
References | Authors | |
12 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingyang Chen | 1 | 0 | 0.34 |
| Qiang Li | 2 | 0 | 0.68 |
| Lei Huang | 3 | 0 | 0.68 |
| Lifang Feng | 4 | 0 | 0.68 |
| Mohamed Rihan | 5 | 0 | 0.34 |
| Deyin Xia | 6 | 0 | 0.68 |