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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35

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UNDERSAMPLED INFORMATION RECOVERY IN OFDM ENVIRONMENT

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.3 Issue 3, pp 40-46,Year 2014

UNDERSAMPLED INFORMATION RECOVERY IN OFDM ENVIRONMENT

Nikos Petrellis

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Received : 25 June 2014; Accepted : 28 June 2014 ; Published : 30 June 2014

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Article No. 10312
Abstract

An under-sampling technique that can be applied in an Orthogonal Frequency Division Multiplexing (OFDM) environment is presented in this paper. It allows the recovery of sparse input data, at the side of the receiver with fewer samples than the ones required by the Nyquist theorem. It is based on the fact that several samples can be replaced by others that have already been obtained at the side of the receiver if the input data are sparse and some properties of the Discrete Fourier Transform (DFT) are exploited. The Forward Error Correction (FEC) techniques employed can also assist in achieving a lower error in the recovery process. The proposed deterministic technique can be implemented with very low complexity hardware in contrast with Compressive Sampling techniques that require complicated optimization problems to be solved. The sampling of up to ¼ of the samples can be avoided at the side of the receiver reducing the size of the buffer memory used by the FFT, as well as the power consumption of the Analog Digital Converter at the receiver since a lower sampling rate is used at specific time intervals.

Key Words   
OFDM, Undersampling, DFT, Analog Digital Conversion

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References
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To cite this article

Nikos Petrellis , " Undersampled Information Recovery In Ofdm Environment ", International Journal of Latest Research in Science and Technology . Vol. 3, Issue 3, pp 40-46 , 2014

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