DOA tracking based on multi-Bernoulli filter for planar array

被引：0
|
作者：
Zhao, Jun [1 ]
Gui, Renzhou [1 ]
Zhao, Xiaomeng [1 ]
Li, Juan [1 ]
Zheng, Huilin [1 ]
Tang, Tianyu [1 ]
Ji, Xiaohong [1 ]
Dong, Xudong [2 ]
Zhu, Hehua [3 ]
Wu, Wei [3 ]
机构：
[1] Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing, Peoples R China
[3] Tongji Univ, Dept Geotech Engn, Shanghai, Peoples R China
来源：
2021 IEEE USNC-URSI RADIO SCIENCE MEETING (JOINT WITH AP-S SYMPOSIUM) | 2021年
基金：
中国国家自然科学基金;
关键词：
Direction-of-arrival (DOA) tracking; multitarget multi-Bernoulli (MeMBer) filter; random finite set (RFS); MUSIC spatial spectrum;
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 order to solve the Direction-of-arrival (DOA) tracking problem in planar arrays, a multi-target multi-Bernoulli (MeMBer) filter based on random finite set (RFS) is proposed. Since the likelihood function determines the weight components during the update stage of MeMBer, this paper uses the MUSIC spectral function instead of the likelihood function calculation. The simulation results show that the algorithm is more accurate than the capon spectral function algorithm when the number of sources is unchanged.
引用
收藏
页码：3 / 4
页数：2
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