会议论文详细信息
2018 2nd annual International Conference on Cloud Technology and Communication Engineering | |
Sensor Gain-Phase Errors Estimation for an Improved Data Model | |
计算机科学;无线电电子学 | |
Dai, Zheng^1 ; Liu, Yan^1 | |
State Key Laboratory of Air Traffic Management System and Technology, or2 8 Yongzhi St., Qinhuai District, Nanjing, China^1 | |
关键词: Auxiliary source; Gain-phase errors; Low complexity algorithm; Low signal-to-noise ratio; Phase error; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012034/pdf DOI : 10.1088/1757-899X/466/1/012034 |
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学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
Gain-phase errors calibration is important for systems using sensor array. In this paper, we consider an improved data model, and propose a low-complexity algorithm for sensor gain-phase errors estimation using an auxiliary source with known direction. The proposed algorithm has good performance in low signal-to-noise ratio (SNR). Moreover, it performs independently of phase errors. Computer simulations are presented to show the efficacy and performance of the proposed algorithm.
【 预 览 】
Files | Size | Format | View |
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Sensor Gain-Phase Errors Estimation for an Improved Data Model | 608KB | download |