Maximum-likelihood detection performance of uncoded OFDM in impulsive noise

Impulsive noise is a non-Gaussian heavy-tailed random process that is encountered in various communication scenarios. If not catered for, a single impulse will corrupt several symbols in an OFDM block. In this paper we analyze the maximum-likelihood (ML) detection error performance of uncoded OFDM. Results are presented for two different models with emphasis on binary and quadrature phase-shift keying (BPSK/QPSK) constellations. As the number of carriers increases, the error performance actually tends towards the Gaussian noise error curve irrespective of the noise impulsiveness. These results provide benchmarks to validate error performance of various schemes in impulsive noise.

[1]  John R. Potter,et al.  Viterbi Decoding of Convolutional Codes in Symmetric α -Stable Noise , 2007, IEEE Transactions on Communications.

[2]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[3]  Marc André Armand,et al.  Improving PSK performance in snapping shrimp noise with rotated constellations , 2012, WUWNet.

[4]  Marc André Armand,et al.  PSK Communication with Passband Additive Symmetric α-Stable Noise , 2012, IEEE Transactions on Communications.

[5]  Pierre Duhamel,et al.  A Necessary Condition on the Location of Pilot Tones for Maximizing the Correction Capacity in OFDM Systems , 2007, IEEE Transactions on Communications.

[6]  David Middleton,et al.  Non-Gaussian Noise Models in Signal Processing for Telecommunications: New Methods and Results for Class A and Class B Noise Models , 1999, IEEE Trans. Inf. Theory.

[7]  Pierre Duhamel,et al.  Impulsive noise cancellation in multicarrier transmission , 2005, IEEE Transactions on Communications.

[8]  Monisha Ghosh,et al.  Analysis of the effect of impulse noise on multicarrier and single carrier QAM systems , 1996, IEEE Trans. Commun..

[9]  Marc André Armand,et al.  Baseband characterization of additive white symmetric α-stable noise , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[10]  Emmanuel J. Candès,et al.  Highly Robust Error Correction byConvex Programming , 2006, IEEE Transactions on Information Theory.

[11]  K. Dostert,et al.  Analysis and modeling of impulsive noise in broad-band powerline communications , 2002 .

[12]  Christian Lüders,et al.  Theory and Applications of OFDM and CDMA: Wideband Wireless Communications , 2005 .

[13]  C. L. Nikias,et al.  Signal processing with alpha-stable distributions and applications , 1995 .

[14]  M. Chitre,et al.  Optimal and Near-Optimal Signal Detection in Snapping Shrimp Dominated Ambient Noise , 2006, IEEE Journal of Oceanic Engineering.

[15]  Tareq Y. Al-Naffouri,et al.  Impulse noise cancellation in OFDM: an application of compressed sensing , 2008, 2008 IEEE International Symposium on Information Theory.

[16]  M. Taqqu,et al.  Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance , 1995 .

[17]  M. Chitre,et al.  Underwater acoustic channel characterisation for medium-range shallow water communications , 2004, Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600).