Sparse Semi-Parametric Estimation of Harmonic Chirp Signals
Research output: Contribution to journal › Article
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.
|Research areas and keywords||
Subject classification (UKÄ) – MANDATORY
|Journal||IEEE Transactions on Signal Processing|
|Publication status||Published - 2016|
No data available
Related research output
Johan Brynolfsson, 2019 May 17, Media-Tryck, Lund: Centre for Mathematical Sciences, Lund University. 224 p.
Research output: Thesis › Doctoral Thesis (compilation)