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http://dx.doi.org/10.7840/kics.2016.41.12.1739

A Reduction Scheme of Impulse and Clipping Noises Based on Compressed Sensing for OFDM Communication Systems  

Seo, Young-Hun (Incheon National University, Department of Embedded System Engineering)
Choi, Byoung-Jo (Incheon National University, Department of Embedded System Engineering)
Abstract
A compressive sensing based iterative scheme for reducing both the impulsive noise as well as the clipping noise is proposed for OFDM-based communication systems. Nonlinear blanking using adaptive thresholds is used in the 1st stage followed by two consecutive compressive sensing based detection with the aid of decision feedback for reducing the BER gradually. Our simulation results revealed an SNR gain of 4.5dB at the BER of $10^{-5}$.
Keywords
OFDM; Impulse Noise; Clipping Noise; Compressed Sensing; Adaptive Thresholding;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 K. H. Kim, et al., "Clipping noise cancelation for OFDM systems using reliable observations based on compressed sensing," IEEE Trans. Broadcasting, vol. 61, no. 1, pp. 111-118, Mar. 2015.   DOI
2 E. Ulrich, et al., "Adaptive threshold optimization for a blanking nonlinearity in OFDM receivers," IEEE GLOBECOM, pp. 3661-3666, Anaheim, USA, Dec. 2012.
3 Thu L. N. Nguyen, et al., "A signal detection and estimation method based on compressive sensing," J. KICS, vol. 40, no. 6, pp. 1024-1031, Jun. 2015.   DOI