Research Article

Self Healing MIMO Transreceiver Module On-Chip

by  Manoj Kumar Das, D Raja Veerappa
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Issue 11
Published: January 2013
Authors: Manoj Kumar Das, D Raja Veerappa
10.5120/9973-4801
PDF

Manoj Kumar Das, D Raja Veerappa . Self Healing MIMO Transreceiver Module On-Chip. International Journal of Computer Applications. 61, 11 (January 2013), 27-31. DOI=10.5120/9973-4801

                        @article{ 10.5120/9973-4801,
                        author  = { Manoj Kumar Das,D Raja Veerappa },
                        title   = { Self Healing MIMO Transreceiver Module On-Chip },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 61 },
                        number  = { 11 },
                        pages   = { 27-31 },
                        doi     = { 10.5120/9973-4801 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Manoj Kumar Das
                        %A D Raja Veerappa
                        %T Self Healing MIMO Transreceiver Module On-Chip%T 
                        %J International Journal of Computer Applications
                        %V 61
                        %N 11
                        %P 27-31
                        %R 10.5120/9973-4801
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study channel estimation and error recovery schemes to support self-healing Multi Input Multi Output transmitter and receiver architecture is proposed. The paper can coexist with existing Automatic modulation Identification hardware module. This technique is used for interference identification and source identification of received signal. The Decision theoretic approach uses the likelihood function where probabilistic and hypothesis-testing arguments to formulate the recognition problem at the output of the channel and accordingly classification are performed. The merits of the proposed approach are its lesser computational complexity, ease in implementation and robustness to model mismatch.

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Index Terms
Computer Science
Information Sciences
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Keywords

Self healing MIMO Module on-chip

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