DocumentCode :
1913590
Title :
Impulsive noise mitigation for wireless OFDM
Author :
Banelli, Paolo ; Rugini, Luca
Author_Institution :
Dept. of Eng., Univ. of Perugia, Perugia, Italy
fYear :
2015
fDate :
June 28 2015-July 1 2015
Firstpage :
346
Lastpage :
350
Abstract :
Impulsive noise typically represents a man-made disturbance that, although it may impair any electrical device, is often neglected in the performance analysis of wireless communication systems. This paper exploits some recent results on Bayesian estimators of Gaussian sources impaired by Middleton Class-A noise, in order to investigate the usefulness of such estimators for orthogonal frequency-division multiplexing (OFDM)-based wireless communications. Specifically, this paper extends the use of minimum mean-squared error (MMSE) and maximum signal-to-noise-ratio (SNR) estimators to OFDM systems in frequency-selective fading channels, and compares the associated gain in symbol-error rate (SER) performance.
Keywords :
OFDM modulation; fading channels; impulse noise; mean square error methods; radiocommunication; Bayesian estimators; Gaussian sources; Middleton Class-A noise; OFDM systems; electrical device; frequency-selective fading channels; impulsive noise mitigation; man-made disturbance; maximum signal-to-noise-ratio estimators; minimum mean-squared error; orthogonal frequency-division multiplexing; symbol-error rate performance; wireless OFDM; wireless communication systems; Bayes methods; OFDM; Receivers; Signal to noise ratio; Wireless communication; Blanker; Class-A noise; MMSE estimation; impulsive noise; soft limiter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
Type :
conf
DOI :
10.1109/SPAWC.2015.7227057
Filename :
7227057
Link To Document :
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