Near field Parameter Estimation Using Successive Music Algorithm

被引：0
|
作者：
Yang, Hao-Yu [1 ]
Xia, Zhong-Xi [1 ]
Zhang, Xiao-Fei [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SECURITY (CSIS 2016) | 2016年
关键词：
Array signal processing; near-field sources; Successive Music; FREQUENCY ESTIMATION; LOCALIZATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a new method to estimate the parameters based on Second-Order Statistics (SOS) and Successive MUSIC using uniform linear array. The proposed algorithm uses successively one-dimensional searches to achieve the joint estimation of two dimensional parameter estimation. This algorithm, which requires the one-dimension local searches, can avoid the high computational cost within 2D-MUSIC algorithm, and it has better estimation performance than Second-Order Statistics (SOS). Finally, the simulation results are presented to validate the performance of the proposed method.
引用
收藏
页码：411 / 417
页数：7
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