Open AccessThe 2D-LC-ESPRIT algorithm based on Massive MIMO
Author(s) -
Yan Wu,
Ting Hui Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/3/032053
Subject(s) - mimo , dimension (graph theory) , eigenvalues and eigenvectors , algorithm , superposition principle , covariance matrix , matrix (chemical analysis) , antenna (radio) , computer science , computational complexity theory , antenna array , mathematics , telecommunications , combinatorics , physics , materials science , composite material , mathematical analysis , channel (broadcasting) , quantum mechanics
This paper proposes a 2D-LC-ESPRIT localization algorithm based on Massive MIMO, aiming at the problem of high computational complexity caused by positioning accuracy caused by abundant antenna array resources. Firstly, the antenna matrix is partitioned, then the received signals are superposition and dimensioned. And then the eigenvalues and corresponding eigenvectors are obtained by solving the cross-covariance matrix. Finally, simulation results show that the performance of the proposed algorithm is improved compared with the traditional two-dimension ESPRIT algorithm.