
Beamspace MUSIC Algorithm based on Space-time Array Signal Model
Author(s) -
Yang Bin,
C. Wang,
Haoming Shen
Publication year - 2019
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 - 10.1088/1742-6596/1284/1/012051
Subject(s) - algorithm , dimension (graph theory) , computer science , signal (programming language) , computation , direction of arrival , doppler effect , sensor array , space (punctuation) , multiple signal classification , computational complexity theory , mathematics , antenna (radio) , telecommunications , physics , astronomy , programming language , operating system , machine learning , pure mathematics
This paper is devoted to the direction-of-arrival (DOA) algorithm in the moving array scenario. A beamspace MUSIC algorithm based on space-time signal model is proposed to cope with this scenario. First, the DOA information contained in Doppler shift is used to combine with the array spatial information, thus constructing a space-time signal model. Second, allowing for the considerable dimension and complexity of the space-time model, we transform the array sensor data into beamspace to reduce the computation load. The introduction of Doppler information leads to significant enhancement in algorithm performance. Simulation results demonstrate the promotion of proposed algorithm.