Efficient Approach to Decoupled Localization for Noncircular Sources in the Presence of Doppler Effect

Direction estimation in the presence of the Doppler effect can be carried out according to the maximum likelihood principle, which requires solving a nonlinear multidimensional problem. A complex multidimensional problem can be transformed into simple one-dimensional problems through signal separati...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.46418-46423
Main Author: Choi, Yang-Ho
Format: Article
Language:English
Subjects:
Complexity
Cost function
Decomposition
decoupled localization
Direction estimation
Doppler effect
Localization
Localization method
Location awareness
maximum likelihood
Maximum likelihood estimation
Minimization
noncircular signals
Optimization
Sensor arrays
Source separation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Direction estimation in the presence of the Doppler effect can be carried out according to the maximum likelihood principle, which requires solving a nonlinear multidimensional problem. A complex multidimensional problem can be transformed into simple one-dimensional problems through signal separations. In the existing localization method for noncircular sources that takes into account the Doppler effect based on signal separation, computationally expensive eigen-decomposition of an N\times N matrix is required at each search point where N is the number of snapshots. This paper presents an efficient method that requires no eigen-decomposition. The proposed method finds direction estimates by optimization of the same cost function of two variables that the existing method handles. Their estimation performances are thus identical, although the complexity of the former is far less than that of the latter. The optimization of the cost function with respect to one variable is theoretically solved without eigen-decomposition, which leads to lower complexity.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3170840