Enhanced data detection employing compressed sensing In wireless communications

Author

Pan, Kyle Jung-Lin ; Haque, Tanbir ; DiFazio, Robert ; Zeira, Ariela

Author_Institution

InterDigital Commun. Inc., Melville, NY, USA

fYear

2014

Firstpage

1

Lastpage

2

Abstract

A framework and algorithm employing compressed sensing (CS) for orthogonal frequency division multiplexing (OFDM) systems is proposed. A compressive iterative interference cancellation for OFDM signal is presented. Prior knowledge of communication system is exploited to enhance data detection performance. Simulation results indicate that such an advanced data detection and receiver yields significant gains in bit error rate (BER) at low sampling rates.

Keywords

OFDM modulation; compressed sensing; error statistics; interference suppression; iterative methods; radiocommunication; signal denoising; BER; CS; OFDM signal; advanced data detection; bit error rate; compressed sensing; compressive iterative interference cancellation; orthogonal frequency division multiplexing systems; wireless communications; Algorithm design and analysis; Bit error rate; Compressed sensing; Interference cancellation; OFDM; Signal processing algorithms; compressed sensing; compressive sampling; data detection; interference cancellation; sub-Nyquist rate sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Network of the Future (NOF), 2014 International Conference and Workshop on the

Type

conf

DOI

10.1109/NOF.2014.7119782

Filename

7119782