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SCIENTIA SINICA Informationis, Volume 47 , Issue 2 : 221-234(2017) https://doi.org/10.1360/N112016-00058

Parameter estimator based on the log-cumulant and its performance analysis for heavy-tailed-distributed impulsive interference}{Parameter estimator based on the log-cumulant and its performance analysis for heavy-tailed-distributed impulsive interference

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  • ReceivedMar 22, 2016
  • AcceptedApr 6, 2016
  • PublishedNov 1, 2016

Abstract


Funded by

国家自然科学基金--浙江两化融合联合基金(U1509219)

国家自然科学基金(61471322)

国家自然科学基金(61402416)


References

[1] You X H, Pan Z W, Gao X Q, et al. The 5G mobile communication: the development trends and its emerging key techniques. Sci Sin Inform, 2014, 44: 551-563 [尤肖虎, 潘志文, 高西奇, 等. 5G 移动通信发展趋势与若干关键技术. 中国科学: 信息科学, 2014, 44: 551-563]. Google Scholar

[2] Zhang Z S, Wang X, Zhang C Y, et al. Massive MIMO technology and challenges. Sci Sin Inform, 2015, 45: 1095-1110 [张中山, 王兴, 张成勇, 等. 大规模MIMO关键技术及应用. 中国科学: 信息科学, 2015, 45: 1095-1110]. Google Scholar

[3] Ilow J, Hatzinakos D. Analytic alpha-stable noise modeling in a Poisson field of interferers or scatters. IEEE Trans Signal Process, 1998, 46: 1601-1611 CrossRef Google Scholar

[4] Hughes B L. Alpha-stable models of multiuser interference. In: Proceedings of IEEE International Symposium on Information Theory, Sorrento, 2000. 383-383. Google Scholar

[5] Gulati K, Evans B L, Andrews J G, et al. Statistics of co-channel interference in a field of Poisson and Poisson-Poisson clustered interferers. IEEE Trans Signal Process, 2010, 58: 6207-6222 CrossRef Google Scholar

[6] Zhou Y F, Li R P, Zhao Z F, et al. On the $\alpha$-stable distribution of base stations in cellular networks. IEEE Commun Lett, 2015, 19: 1750-1753 CrossRef Google Scholar

[7] Li R P, Zhao Y F, Qi C, et al. Understanding the traffic nature of mobile instantaneous messaging in cellular networks: a revisiting to $\alpha$-stable models. IEEE J Mag, 2015, 3: 1416-1422. Google Scholar

[8] Pereyra M, Dobigeon N, Batatia H, et al. Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, 2011. 729-723. Google Scholar

[9] Chen J, Nunez-Yanez J L, Achim A. Bayesian video super-resolution with heavy-tailed prior models. IEEE Trans Circ Syst Video Tech, 2014, 24: 905-914 CrossRef Google Scholar

[10] Niranjayan S, Beaulieu N C. The BER optimal linear rake receiver for signal detection in symmetric alpha-stable noise. IEEE Trans Commun, 2009, 57: 3585-3588 CrossRef Google Scholar

[11] Niranjayan S, Beaulieu N C. BER optimal linear combiner for signal detection in symmetric alpha-stable noise: small values of alpha. IEEE Trans Wirel Commun, 2010, 9: 886-890 CrossRef Google Scholar

[12] Rajan A, Tepedelenlioglu C. Diversity combining over rayleigh fading channels with symmetric alpha-stable noise. IEEE Trans Wirel Commun, 2010, 9: 2968-2976 CrossRef Google Scholar

[13] Sureka G, Kiasaleh K. Sub-optimum receiver architecture for AWGN channel with symmetric alpha-stable interference. IEEE Trans Commun, 2013, 61: 1926-1935 CrossRef Google Scholar

[14] Yang F, Zhang X. BER and SER analyses for M-ary modulation schemes under symmetric alpha-stable noise. In: Proceedings of IEEE Global Communications Conference on Wireless Communication Symposium, Austin, 2014. 3983-3988. Google Scholar

[15] Chen Y F, Chen J M. Novel S$\alpha$S PDF approximations and their applications in wireless signal detection. IEEE Trans Wirel Commun, 2015, 14: 1080-1091 CrossRef Google Scholar

[16] Mohhammadreza H B, Hamidreza A. A new alpha and gamma based mixture approximation for heavy-tailed Rayleigh distribution. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, 2015. 3711-3715. Google Scholar

[17] Nikias C L, Shao M. Signal Processing With Alpha-Stable Distributions and Applications. Hoboken: John Wiley & Sons, 1995. 13-14. Google Scholar

[18] Kuruoglu E E, Zerubia J. Modeling SAR images with a generalization of the Rayleigh distribution. IEEE Trans Image Process, 2004, 13: 527-533 CrossRef Google Scholar

[19] Sun Z G, Hang C Z. Estimate of distribution for SAR image based on the generalized Rayleigh distribution. In: Proceedings of the World Congress on Intelligent Control and Automation, Dalian, 2006. 9547-9551. Google Scholar

[20] Sun Z G, Han C Z. Heavy-tailed Rayleigh distribution: a new tool for the modeling of SAR amplitude images. In: Proceedings of International Geoscience and Remote Sensing Symposium, Boston, 2006. 1253-1256. Google Scholar

[21] Pastor G, Mora-Jimenez I, Caamano A J, et al. Log-cumulant matching approximation of heavy-tailed-distributed aggregate interference. In: Proceedings of IEEE Internation Conference Communications, London, 2015. 4811-4815. Google Scholar

[22] Liu T, Cui H G, Mao T, et al. Modeling multilook polarimetric SAR images with heavy-tailed Rayleigh distribution and novel estimation based on matrix log-cumulants. Sci China Inf Sci, 2013, 56: 062306. Google Scholar

[23] Kuruo\u{g}lu E E. Density parameter estimation of skewed $\alpha$-stable distributions. IEEE Trans Signal Process, 2001, 49: 2192-2201 CrossRef Google Scholar

[24] Veillette M. Matlab code alpha-stable distributions. http://math.bu.edu/people/mveillet/html/alphastablepub.html. Google Scholar

[25] Gonzalez J G, Paredes J L, Arce G R. Zero-order statistics: a mathematical framework for the processing and characterization of very impulsive signals. IEEE Trans Signal Process, 2006, 50: 3839-3851. Google Scholar

[26] Nassar M, Gulati K, Sujeeth A, et al. Mitigating near-field interference in laptop embedded wireless transceivers. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Nevada, 2008. 1405-1408. Google Scholar