Name
Abstract | ||
|---|---|---|
In practical applications, the assumption of omnidirectional elements is not effective in general, which leads to the direction-dependent mutual coupling (MC). Under this condition, the performance of traditional calibration algorithms suffers. This paper proposes a new self-calibration method based on the time-frequency distributions (TFDs) in the presence of direction-dependent MC. Firstly, the time-frequency (TF) transformation is used to calculate the space-time-frequency distributions (STFDs) matrix of received signals. After that, the estimated steering vector and corresponding noise subspace are estimated by the steps of noise removing, single-source TF points extracting and clustering. Then according to the transformation relationship between the MC coefficients, steering vector and MC matrix, we deduce a set of linear equations. Finally, with two-step alternating iteration, the equations are solved by least square method in order to estimate DOA and MC coefficients. Simulations results show that the proposed algorithm can achieve direction-dependent MC self-calibration and outperforms the existing algorithms. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/s19040978 | SENSORS |
Keywords | Field | DocType |
DOA estimation,direction-dependent mutual coupling,time-frequency distribution,self-calibration | Least squares,Linear equation,Omnidirectional antenna,Coupling,Subspace topology,Matrix (mathematics),Algorithm,Electronic engineering,Engineering,Cluster analysis,Calibration | Journal |
Volume | Issue | ISSN |
19 | 4 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Qi | 1 | 0 | 0.34 |
| Min Tang | 2 | 623 | 51.33 |
| Shiwen Chen | 3 | 0 | 0.34 |
| Zhixin Liu | 4 | 102 | 14.71 |
| Yongjun Zhao | 5 | 0 | 0.34 |