Improved channel estimation for interference cancellation in random access methods for satellite communications - Université Toulouse III - Paul Sabatier - Toulouse INP Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Improved channel estimation for interference cancellation in random access methods for satellite communications

Résumé

In the context of satellite communications, random access methods can significantly increase throughput and reduce latency over the network. The recent random access methods are based on multi-user multiple access transmission at the same time and frequency followed by iterative interference cancellation and decoding at the receiver. Generally, it is assumed that perfect knowledge of the interference is available at the receiver. In practice, the interference term has to be accurately estimated to avoid performance degradation. Several estimation techniques have been proposed lately in the case of superimposed signals. In this paper, we present an overview on existing channel estimation methods and we propose an improved channel estimation technique that combines estimation using an autocorrelation based method and the Expectation-Maximization algorithm, and uses pilot symbol assisted modulation to further improve the performance and achieve optimal interference cancellation.
Fichier principal
Vignette du fichier
zidane_17186.pdf (281.31 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01461715 , version 1 (08-02-2017)

Identifiants

  • HAL Id : hal-01461715 , version 1
  • OATAO : 17186

Citer

Karine Zidane, Jérôme Lacan, Marie-Laure Boucheret, Charly Poulliat. Improved channel estimation for interference cancellation in random access methods for satellite communications. 7th Advanced Satellite Multimedia Systems Conference and 13th Signal Processing for Space communications Workshop (ASMS/SPSC 2014), Sep 2014, Livorno, Italy. pp.73-77. ⟨hal-01461715⟩
202 Consultations
165 Téléchargements

Partager

Gmail Facebook X LinkedIn More