Iterative Self-Calibration Algorithm for Near-Field Source Localization

被引：0
|
作者：
Yang, Shiqian [1 ]
Gao, Shangwei [2 ]
Cui, Guolong [1 ]
Kong, Lingjiang [1 ]
Zhang, Tianxian [1 ]
Yang, Jianyu [1 ]
机构：
[1] Univ Elect Sci & Technol China, Chengdu, Peoples R China
[2] Sci & Technol Elect Informat Control Lab, Chengdu, Peoples R China
来源：
2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR) | 2016年
基金：
中国国家自然科学基金;
关键词：
Near Field; Nonuniform Sparse Array; Error Calibration; SENSOR GAIN; DOA;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we consider the near field source location problem for a nonuniform sparse linear array (non-USA) in the presence of sensor gain and phase errors. We present a minimum variance based iterative self-calibration method to simultaneously estimate the gain and phase error parameters as well as the calibration sources locations including ranges and azimuthes exploiting some imprecise a-priori knowledge of calibration sources. The source locations and the gain/phase errors are obtained iteratively with known range or azimuth, and continue the procedure until they are converged. Finally, at the analysis stage, we evaluate the effectiveness of the proposed technique using some numerical simulations.
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页数：6
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