TDOA and RSSD Based Hybrid Passive Source Localization with Unknown Transmit Power

被引：5
|
作者：
Wang, Zengfeng [1 ,2 ]
Zhang, Hao [2 ]
Lu, Tingting [2 ]
Liu, Xing [2 ]
Wei, Zhaoqiang [2 ]
Gulliver, T. Aaron [3 ]
机构：
[1] Ludong Univ, Sch Informat & Elect Engn, Yantai, Peoples R China
[2] Ocean Univ China, Dept Elect Engn, Qingdao, Peoples R China
[3] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC, Canada
来源：
IETE JOURNAL OF RESEARCH | 2020年 / 66卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Cramer-rao lower bound (CRLB); Least-squares estimation; Passive source localization; Received signal strength difference (RSSD); Time difference of arrival (TDOA); TIME DIFFERENCES; SENSOR NETWORK; LOCATION; ARRIVAL;
D O I：
10.1080/03772063.2018.1497551
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：
Passive source localization is an important issue as there are numerous applications including search and rescue and public safety. Hybrid passive source localization combining time difference of arrival (TDOA) and received signal strength difference (RSSD) is investigated in this paper. First, a TDOA and RSSD based linear weighted least-squares (WLS) estimator for passive source localization is presented. Second, the maximum likelihood (ML) estimator and Cramer-Rao lower bound (CRLB) for the hybrid localization scheme are derived as performance benchmarks. Numerical results are presented which demonstrate that the proposed hybrid localization method provides significantly better accuracy than using only the TDOA.
引用
收藏
页码：533 / 545
页数：13
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