scholarly journals DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2109 ◽  
Author(s):  
Na Wu ◽  
Zhiyu Qu ◽  
Weijian Si ◽  
Shuhong Jiao
Keyword(s):  
Circular Array ◽  
Vector Sensor ◽  
Electromagnetic Vector Sensor ◽  
Polarization Estimation ◽  
Esprit Algorithm

Underwater Electromagnetic Sources 2-D DOA and Polarization Estimation

2012 ◽  
Vol 459 ◽  
pp. 529-534
Author(s):  
Zhen Bin Zhang ◽  
Bin Li
Keyword(s):  
Poynting Vector ◽  
Cross Product ◽  
Parameter Estimates ◽  
Data Sets ◽  
Rotation Invariant ◽  
Vector Sensor ◽  
Specific Distribution ◽  
Electromagnetic Vector Sensor ◽  
Polarization Estimation ◽  
Esprit Algorithm

With the development of ocean exploration and research, the precise estimation of underwater electromagnetic sources’ DOA and polarization has become an essential research topic. An electromagnetic vector sensor can measure all six electromagnetic field components of the incident wave field. Thus, it explores not only the DOA of the signal but also the polarization diversity which represents electromagnetic sources’ specific distribution. TLS-ESPRIT algorithm is based on rotation invariant of two signal subspaces. It utilizes a pair of temporally displace data sets collected form a single electromagnetic vector sensor. The parameter estimates are obtained through Poynting vector that is cross-product operation of each signal subspace eigenvector of the data correlation matrix. This method requires no priori knowledge of signal frequencies, suffers no frequency ambiguity, can resolve up to five uncorrelated monochromatic underwater sources. Simulations illustrated the efficiency of the algorithm.

scholarly journals Geometric Algebra-Based ESPRIT Algorithm for DOA Estimation

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5933
Author(s):  
Rui Wang ◽  
Yue Wang ◽  
Yanping Li ◽  
Wenming Cao ◽  
Yi Yan
Keyword(s):  
Geometric Algebra ◽  
Array Signal Processing ◽  
Super Resolution ◽  
Doa Estimation ◽  
Model Errors ◽  
Matrix Operations ◽  
Multiple Components ◽  
Vector Sensor ◽  
Electromagnetic Vector Sensor ◽  
Esprit Algorithm

Direction-of-arrival (DOA) estimation plays an important role in array signal processing, and the Estimating Signal Parameter via Rotational Invariance Techniques (ESPRIT) algorithm is one of the typical super resolution algorithms for direction finding in an electromagnetic vector-sensor (EMVS) array; however, existing ESPRIT algorithms treat the output of the EMVS array either as a “long vector”, which will inevitably lead to loss of the orthogonality of the signal components, or a quaternion matrix, which may result in some missing information. In this paper, we propose a novel ESPRIT algorithm based on Geometric Algebra (GA-ESPRIT) to estimate 2D-DOA with double parallel uniform linear arrays. The algorithm combines GA with the principle of ESPRIT, which models the multi-dimensional signals in a holistic way, and then the direction angles can be calculated by different GA matrix operations to keep the correlations among multiple components of the EMVS. Experimental results demonstrate that the proposed GA-ESPRIT algorithm is robust to model errors and achieves less time complexity and smaller memory requirements.

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