Compressive estimation of cluster-sparse channels

G. Gui, N. Zheng, N. Wang, A. Mehbodniya, F. Adachi

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Cluster-sparse multipath channels, i.e., non-zero taps occurring in clusters, exist frequently in many communication systems, e.g., underwater acoustic (UWA), ultra-wide band (UWB), and multiple-antenna communication systems. Conventional sparse channel estimation methods often ignore the additional structure in the problem formulation. In this paper, we propose an improved compressive channel estimation (CCE) method using block orthogonal matching pursuit algorithm (BOMP) based on the cluster-sparse channel model. Making explicit use of the concept of cluster-sparsity can yield better estimation performance than the conventional sparse channel estimation methods. Compressive sensing utilizes cluster-sparse information to improve the estimation performance by further mitigating the coherence in training signal matrix. Finally, we present the simulation results to confirm the performance of the proposed method based on cluster-sparse.

Original languageEnglish
Pages (from-to)251-263
Number of pages13
JournalProgress In Electromagnetics Research C
Volume24
DOIs
Publication statusPublished - 2011

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials

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