Sparse Semi-Parametric Estimation of Harmonic Chirp Signals

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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.

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Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Signalbehandling
Originalspråkengelska
Sidor (från-till)1798-1807
TidskriftIEEE Transactions on Signal Processing
Volym64
Utgivningsnummer7
StatusPublished - 2016
PublikationskategoriForskning
Peer review utfördJa

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Relaterad forskningsoutput

Johan Brynolfsson, 2019 maj 17, Media-Tryck, Lund: Centre for Mathematical Sciences, Lund University. 224 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

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