NDLI: New algorithm for joint estimation of DOA and polarisation based on electrically large and complete electromagnetic vector sensor

Content Provider	IET Digital Library
Author	Zhu, Dongchen Chen, Baixiao Yang, Minglei Dong, Mei
Abstract	With the development of estimation algorithms for polarisation sensitive array (PSA) parameters, research has been focused on complete/incomplete electromagnetic vector sensor (EMVS) that is mainly based on electrically ‘short’ dipoles and/or electrically ‘small’ circular loops. Recently, electrically ‘long’ dipoles and electrically ‘large’ circular loops are further preferred and have been proposed to utilise more efficiently radiation characteristics. However, almost all available such EMVSs are only composed of either long dipoles or large circular loops. To sufficiently utilise relevant electromagnetic information, in this study an electrically ‘large’ EMVS is proposed, which is composed of a triad of long dipoles and a triad of large circular loops, co-located, and orthogonally oriented. With formulated array manifold of the proposed EMVS, a close-form algorithm is developed to estimate an incident source's azimuth-elevation direction-of-arrival (DOA) and polarisation simultaneously without prior knowledge, and verified that its estimation accuracy is closely approaching corresponding to Cramér-Rao Bound. It is demonstrated that when with inaccurate prior knowledge, the proposed algorithm has better performance than existing algorithms that were designed for the incomplete EMVS with either long dipoles or large loops. Finally, simulation results also show that with increased electrical size of the EMVS, the estimation accuracy is significantly improved.
Starting Page	1279
Ending Page	1286
Page Count	8
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 9, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0419
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-01-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Azimuth-elevation Direction-of-arrival Estimation Close-form Algorithm Complete-incomplete Electromagnetic Vector Sensor Cramér-Rao Bound Direction of Arrival Estimation DOA Estimation Electric Field Measurement Electric Sensing Device Electrically Large Circular Loops Electrically Large EMVS Electrically Large Vector Sensor Electrically Long Dipoles Electromagnetic Device Electromagnetic Device Application Estimation Algorithm Formulated Array Manifold Magnetic Field Measurement Magnetic Sonsor Magnetic Variables Measurement Polarisation Sensitive Array Parameter Radiation Characteristic Relevant Electromagnetic Information Sensing Device And Transducers Sensor Array Signal Processing And Detection Voltage Measurement
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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