Constrained Weighted Least-Squares Algorithms for 3-D AOA-Based Hybrid Localization

被引：5
|
作者：
Zou, Yanbin [1 ]
Wu, Wenbo [1 ]
Fan, Jingna [1 ]
Liu, Huaping [2 ]
机构：
[1] Shantou Univ, Dept Elect & Informat Engn, Shantou 515063, Peoples R China
[2] Oregon State Univ, Sch Elect Engn & Comp Sci, Corvallis, OR USA
来源：
IEEE OPEN JOURNAL OF SIGNAL PROCESSING | 2024年 / 5卷
关键词：
Angle-of-arrival (AOA); time-of-arrival (TOA); time-difference-of-arrival (TDOA); time-delay (TD); receivedsignal-strength (RSS); constrained weighted least squares (CWLS); lagrange multiplier method;
D O I：
10.1109/OJSP.2024.3360901
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：
Source localization with time-of-arrival (TOA), time-difference-of-arrival (TDOA), time-delay (TD), received-signal-strength (RSS), or angle-of-arrival (AOA) measurements from several spatially distributed sensors is commonly used in practice. Existing analysis of the Cram $\acute{\text{e}}$ r-Rao lower bounds (CRLB) shows that a hybrid of two or more independent kinds of measurement has a lower CRLB than one individual type of measurement. This paper develops a unified constrained weighted-least squares (CWLS) algorithm for five types of hybrid localization systems: AOA and TOA (AOA/TOA), AOA and TDOA (AOA/TDOA), AOA and TD (AOA/TD), AOA and RSS (AOA/RSS), AOA, TOA, and RSS (AOA/TOA/RSS). These formulated CWLS problems only have one quadratic constraint, which can be effectively solved by the Lagrange multiplier method and root-finding algorithm. Extensive simulation results show that the proposed CWLS algorithms are superior to state-of-the-art algorithms and reach the CRLB.
引用
收藏
页码：436 / 448
页数：13
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