Multidimensional Single-Tone Frequency Estimation Based on QR Decomposition
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Article number | 8719905 |
Pages (from-to) | 68153-68159 |
Journal / Publication | IEEE Access |
Volume | 7 |
Online published | 22 May 2019 |
Publication status | Published - 2019 |
Link(s)
DOI | DOI |
---|---|
Attachment(s) | Documents
|
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85067205563&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(b82d739d-cde2-465a-b5ea-101761f5ef25).html |
Abstract
In this paper, the problem of multidimensional single-tone frequency estimation of sinusoids embedded in white Gaussian noise is investigated. By extracting the two-dimensional (2-D) slice matrices from the multidimensional data, we construct a covariance matrix associated with only one dimension, from which the corresponding frequency is estimated with the utilization of a QR decomposition based iterative method. The frequencies of the remaining dimensions are then obtained following similar procedures. Moreover, the mean square error of the estimated frequencies is devised. The computer simulations are also included to evaluate the performance of the proposed method by comparing with the several state-of-the-art algorithms and Cramér-Rao lower bound.
Research Area(s)
- Frequency estimation, parameter estimation, QR factorization
Citation Format(s)
Multidimensional Single-Tone Frequency Estimation Based on QR Decomposition. / CAO, Hui; HUANG, Long-Ting; WU, Yuntao et al.
In: IEEE Access, Vol. 7, 8719905, 2019, p. 68153-68159.
In: IEEE Access, Vol. 7, 8719905, 2019, p. 68153-68159.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Download Statistics
No data available