Name
Abstract | ||
|---|---|---|
In this paper, a comprehensive error calibration method is proposed for non-uniform dual circular arrays in the presence of gain-phase errors, position errors and mutual coupling errors. By rotating the platform, only one auxiliary calibration source is used to construct three time-sharing calibration sources. According to the orthogonality principle of signal subspace and noise subspace, the cost function is constructed, and the coefficients of gain-phase errors, position errors and mutual coupling errors are obtained through iteration. When the mutual coupling error is estimated, the algorithm makes full use of the structural characteristics of the non-uniform dual circular array. The algorithm does not require any additional auxiliary array element, the principle is simple and easy to implement. Simulation results show that the proposed algorithm can effectively calibrate the comprehensive error of non-uniform dual circular array.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3297067.3297090 | Proceedings of the 2018 International Conference on Signal Processing and Machine Learning |
Keywords | Field | DocType |
Direction of arrival estimation, Gain-phase errors, Mutual coupling errors, Non-uniform dual circular array, Position errors | Calibration algorithm,Computer vision,Coupling,Subspace topology,Computer science,Circular buffer,Algorithm,Array element,Artificial intelligence,Signal subspace,Calibration,Orthogonality principle | Conference |
ISBN | Citations | PageRank |
978-1-4503-6605-2 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiajia Zhang | 1 | 26 | 16.64 |
| Hui Chen | 2 | 1 | 2.38 |
| Mengyu Ni | 3 | 0 | 1.01 |
| Jiangang Wang | 4 | 0 | 0.34 |