Improved channel estimation with partial sparse constraint for AF cooperative communication systems

Guan Gui, Wei Peng, Fumiyuki Adachi

Research output: Contribution to conferencePaperpeer-review

Abstract

Accurate channel state information (CSI) is necessary for coherent detection in amplify and forward (AF) broadband cooperative communication systems. Based on the assumption of ordinary sparse channel, efficient sparse channel estimation methods have been investigated in our previous works. However, when the cooperative channel exhibits partial sparse structure rather than ordinary sparsity, our previous method cannot take advantage of the prior information. In this paper, we propose an improved channel estimation method with partial sparse constraint on cooperative channel. At first, we formulate channel estimation as a compressive sensing problem and utilize sparse decomposition theory. Secondly, the cooperative channel is reconstructed by LASSO with partial sparse constraint. Finally, numerical simulations are carried out to confirm the superiority of proposed methods over ordinary sparse channel estimation methods.

Original languageEnglish
Pages953-958
Number of pages6
DOIs
Publication statusPublished - 2012
Event18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012 - Jeju Island, Korea, Republic of
Duration: 2012 Oct 152012 Oct 17

Other

Other18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012
Country/TerritoryKorea, Republic of
CityJeju Island
Period12/10/1512/10/17

ASJC Scopus subject areas

  • Computer Networks and Communications

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