Sparse Semi-Parametric Estimation of Harmonic Chirp Signals
(2016) In IEEE Transactions on Signal Processing 64(7). p.1798-1807- Abstract
- In this work, we present a method for estimating the parameters detailing an unknown number of linear, possibly harmonically related, chirp signals, using an iterative sparse reconstruction framework. The proposed method is initiated by a re-weighted group-sparsity approach, followed by an iterative relaxation-based refining step, to allow for high resolution estimates. Numerical simulations illustrate the achievable performance, offering a notable improvement as compared to other recent approaches. The resulting estimates are found to be statistically efficient, achieving the corresponding Cram´er-Rao lower bound.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8409990
- author
- Swärd, Johan
LU
; Brynolfsson, Johan
LU
; Jakobsson, Andreas
LU
and Sandsten, Maria LU
- organization
- publishing date
- 2016
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Transactions on Signal Processing
- volume
- 64
- issue
- 7
- pages
- 1798 - 1807
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:84962022967
- wos:000372004900012
- ISSN
- 1053-587X
- DOI
- 10.1109/TSP.2015.2507538
- language
- English
- LU publication?
- yes
- id
- c566746e-65e1-428e-8af7-4e9f87ff6f68 (old id 8409990)
- date added to LUP
- 2016-04-01 10:45:33
- date last changed
- 2024-02-22 10:20:30
@article{c566746e-65e1-428e-8af7-4e9f87ff6f68, abstract = {{In this work, we present a method for estimating the parameters detailing an unknown number of linear, possibly harmonically related, chirp signals, using an iterative sparse reconstruction framework. The proposed method is initiated by a re-weighted group-sparsity approach, followed by an iterative relaxation-based refining step, to allow for high resolution estimates. Numerical simulations illustrate the achievable performance, offering a notable improvement as compared to other recent approaches. The resulting estimates are found to be statistically efficient, achieving the corresponding Cram´er-Rao lower bound.}}, author = {{Swärd, Johan and Brynolfsson, Johan and Jakobsson, Andreas and Sandsten, Maria}}, issn = {{1053-587X}}, language = {{eng}}, number = {{7}}, pages = {{1798--1807}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Signal Processing}}, title = {{Sparse Semi-Parametric Estimation of Harmonic Chirp Signals}}, url = {{https://lup.lub.lu.se/search/files/2110449/8410045.pdf}}, doi = {{10.1109/TSP.2015.2507538}}, volume = {{64}}, year = {{2016}}, }