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Sparse semi-parametric chirp estimation

Swärd, Johan LU ; Brynolfsson, Johan LU ; Jakobsson, Andreas LU and Sandsten, Maria LU (2014) 48th Asilomar Conference on Signals, Systems and Computers, 2014 In Signals, Systems and Computers, 2014 48th Asilomar Conference on p.1236-1240
Abstract
In this work, we present a method for estimating the parameters detailing an unknown number of linear chirp signals, using an iterative sparse reconstruction framework. The proposed method is initiated by a re-weighted Lasso approach, and then use an iterative relaxation-based refining step to allow for high resolution estimates. The resulting estimates are found to be statistically efficient, achieving the Cramér-Rao lower bound. Numerical simulations illustrate the achievable performance, offering a notable improvement as compared to other recent approaches.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Signals, Systems and Computers, 2014 48th Asilomar Conference on
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
48th Asilomar Conference on Signals, Systems and Computers, 2014
external identifiers
  • Scopus:84940505837
ISBN
978-1-4799-8295-0
DOI
10.1109/ACSSC.2014.7094656
language
English
LU publication?
yes
id
4dc0cd93-f5ec-4c97-af42-77e3a576a125 (old id 7860309)
date added to LUP
2016-01-15 19:26:26
date last changed
2016-10-13 04:45:07
@misc{4dc0cd93-f5ec-4c97-af42-77e3a576a125,
  abstract     = {In this work, we present a method for estimating the parameters detailing an unknown number of linear chirp signals, using an iterative sparse reconstruction framework. The proposed method is initiated by a re-weighted Lasso approach, and then use an iterative relaxation-based refining step to allow for high resolution estimates. The resulting estimates are found to be statistically efficient, achieving the Cramér-Rao lower bound. Numerical simulations illustrate the achievable performance, offering a notable improvement as compared to other recent approaches.},
  author       = {Swärd, Johan and Brynolfsson, Johan and Jakobsson, Andreas and Sandsten, Maria},
  isbn         = {978-1-4799-8295-0},
  language     = {eng},
  pages        = {1236--1240},
  publisher    = {ARRAY(0xa0d45e0)},
  series       = {Signals, Systems and Computers, 2014 48th Asilomar Conference on},
  title        = {Sparse semi-parametric chirp estimation},
  url          = {http://dx.doi.org/10.1109/ACSSC.2014.7094656},
  year         = {2014},
}