Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/527474
Title: Clipping Noise Elimination for OFDM Systems by Compressed Sensing With Partially Aware Support
Authors: Fang Yang;Junnan Gao;Sicong Liu;Jian Song
Year: 2017
Publisher: IEEE
Abstract: The clipping noise, which could cause out-of-band radiation and increase bit error rate in orthogonal frequency division multiplexing systems, is necessary to be mitigated. This paper proposes a clipping noise elimination scheme based on compressed sensing (CS) with partially aware support. Specifically, the clipping noise is reconstructed from the selected reliable observations in the frequency domain with the proposed partially aware support sparsity adaptive matching pursuit algorithm. The proposed method outperforms the conventional clipping noise elimination approaches in the aspects of both the accuracy and robustness by exploiting the partially aware support, which is verified by both theoretical analysis and numerical simulation.
URI: http://dl.kums.ac.ir/handle/Hannan/527474
volume: 63
issue: 1
More Information: 103,
110
Appears in Collections:2017

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Title: Clipping Noise Elimination for OFDM Systems by Compressed Sensing With Partially Aware Support
Authors: Fang Yang;Junnan Gao;Sicong Liu;Jian Song
Year: 2017
Publisher: IEEE
Abstract: The clipping noise, which could cause out-of-band radiation and increase bit error rate in orthogonal frequency division multiplexing systems, is necessary to be mitigated. This paper proposes a clipping noise elimination scheme based on compressed sensing (CS) with partially aware support. Specifically, the clipping noise is reconstructed from the selected reliable observations in the frequency domain with the proposed partially aware support sparsity adaptive matching pursuit algorithm. The proposed method outperforms the conventional clipping noise elimination approaches in the aspects of both the accuracy and robustness by exploiting the partially aware support, which is verified by both theoretical analysis and numerical simulation.
URI: http://dl.kums.ac.ir/handle/Hannan/527474
volume: 63
issue: 1
More Information: 103,
110
Appears in Collections:2017

Files in This Item:
File Description SizeFormat 
7571180.pdf941.15 kBAdobe PDFThumbnail
Preview File
Title: Clipping Noise Elimination for OFDM Systems by Compressed Sensing With Partially Aware Support
Authors: Fang Yang;Junnan Gao;Sicong Liu;Jian Song
Year: 2017
Publisher: IEEE
Abstract: The clipping noise, which could cause out-of-band radiation and increase bit error rate in orthogonal frequency division multiplexing systems, is necessary to be mitigated. This paper proposes a clipping noise elimination scheme based on compressed sensing (CS) with partially aware support. Specifically, the clipping noise is reconstructed from the selected reliable observations in the frequency domain with the proposed partially aware support sparsity adaptive matching pursuit algorithm. The proposed method outperforms the conventional clipping noise elimination approaches in the aspects of both the accuracy and robustness by exploiting the partially aware support, which is verified by both theoretical analysis and numerical simulation.
URI: http://dl.kums.ac.ir/handle/Hannan/527474
volume: 63
issue: 1
More Information: 103,
110
Appears in Collections:2017

Files in This Item:
File Description SizeFormat 
7571180.pdf941.15 kBAdobe PDFThumbnail
Preview File