Title :
Information recovery using undersampling in orthogonal frequency division multiplexing systems
Author :
Petrellis, Nikos
Author_Institution :
Comput. Sci. & Telecommun. Dept., TEI of Larissa, Larissa, Greece
Abstract :
The architecture of a telecommunication system based on Orthogonal Frequency Division Multiplexing (OFDM) used to transfer sparse information is described in this paper. The inherent data sparsity in conjunction with the Forward Error Correction techniques and the properties of the Discrete Fourier Transform employed by OFDM modulation, allows the estimation of several samples from others that have already been retrieved by the Analog Digital Converter at the side of the receiver. More specifically, the method presented here allows the estimation of up to ¼ of the values required by the Discrete Fourier Transform at the side of the receiver from other available samples. The number of the samples that can be estimated from others can be further increased if the input data obey to additional restrictions. The proposed method reduces the buffering memory requirements for sample storage by 25% as well as the power consumption of the Analog Digital Converter used at the receiver.
Keywords :
OFDM modulation; analogue-digital conversion; buffer storage; compressed sensing; discrete Fourier transforms; forward error correction; power consumption; signal sampling; OFDM modulation; analog digital converter; buffering memory requirements; data sparsity; discrete Fourier transform; forward error correction techniques; information recovery; orthogonal frequency division multiplexing systems; power consumption; sample storage; sparse information; telecommunication system; Bit error rate; Channel estimation; Discrete Fourier transforms; Image reconstruction; OFDM; Receivers; Vectors; Analog Digital Conversion; Compressed Sensing; OFDM; Undersampling;
Conference_Titel :
Digital Signal Processing (DSP), 2013 18th International Conference on
Conference_Location :
Fira
DOI :
10.1109/ICDSP.2013.6622769