Sparse Semi-Parametric Estimation of Harmonic Chirp Signals
Författare
Summary, in English
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.
Avdelning/ar
- Matematisk statistik
- Statistical Signal Processing Group
- Biomedical Modelling and Computation
- eSSENCE: The e-Science Collaboration
Publiceringsår
2016
Språk
Engelska
Sidor
1798-1807
Publikation/Tidskrift/Serie
IEEE Transactions on Signal Processing
Volym
64
Issue
7
Fulltext
Dokumenttyp
Artikel i tidskrift
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Signal Processing
Status
Published
Forskningsgrupp
- Statistical Signal Processing
- Statistical Signal Processing Group
- Biomedical Modelling and Computation
ISBN/ISSN/Övrigt
- ISSN: 1053-587X