Analysis of the statistical model with the two-dimensional cumulant feature applying to modulation classification

被引：1

作者：

Liu, Pei ^{[1
]}

Shui, Penglang ^{[1
]}

Guo, Yongming ^{[2
]}

Li, Ning ^{[2
]}

机构：

[1] National Key Lab. of Radar Signal Processing, Xidian Univ.

[2] National Institute of Radio Spectrum Management

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2014年 / 41卷 / 02期

关键词：

Cumulants; Gaussian distribution; Maximum likelihood classifier; Modulation classification; Statistical model;

D O I：

10.3969/j.issn.1001-2400.2014.02.008

中图分类号：

学科分类号：

摘要：

Higher order cumulants are the key features for implementing digital modulation classification. However, few available literatures focus on the statistical model of cumulant features. A two-dimensional normalized fourth-order cumulant feature is proposed to classify linear digital modulation in the additive white Gaussian noise channel, and then it is derived that the two-dimensional feature asymptotically obeys Gaussian distribution. In order to show the correctness of the proposition, a maximum likelihood classifier is formed in the two-dimensional feature domain according to the Bayesian criterion. The average probability of correct classification of the binary class problem is theoretically determined, which is consistent with the result obtained by simulations, thus justifying the correctness of the proposed theoretical results.

引用

页码：44 / 50

页数：6

共 11 条

[1]

Wei W., Medel J.M., Maximum-likelihood classification for digital amplitude-phase modulations, IEEE Transactions on Communications, 48, 2, pp. 189-193, (2000)

[2]

Dobre O.A., Abdi A., Bar-Ness Y., Et al., Survey of automatic modulation classification techniques: Classical approaches and new trends, IET Communications, 1, 2, pp. 137-156, (2007)

[3]

Chavali V.G., da Silva C.M., Maximum-likelihood classification of digital amplitude-phase modulated signals in flat fading non-gaussian channels, IEEE Transactions on Communications, 59, 8, pp. 2051-2056, (2011)

[4]

Headly W.C., da Silva C.M., Asynchronous classification of digital amplitude-phase modulated signals in flat-fading channels, IEEE Transactions on Communications, 59, 1, pp. 7-12, (2011)

[5]

Swami A., Sadler B.M., Hierarchical digital modulation classification using cumulants, IEEE Tranactions on Communications, 48, 3, pp. 416-929, (2000)

[6]

Zaerin M., Seyfe B., Multiuser modulation classification based on cumulants in additive white gaussian noise channel, IET Signal Processing, 6, 9, pp. 815-823, (2012)

[7]

Nandi A.K., Azzouz E.E., Algorithms for automatic modulation recognition of communication signals, IEEE Transactions on Communications, 46, 4, pp. 431-436, (1998)

[8]

Wu H.C., Saquib M., Yun Z., Novel automatic modulation classification using cumulant features for communications via multipath channels, IEEE Transactions on Wireless Communications, 7, 8, pp. 3098-3105, (2008)

[9]

Liu M., Li B., Zhao L., Novel modulation identification scheme for subcarriers of ofdm signals in the multipath channel, Journal of Xidian University, 38, 5, pp. 20-26, (2011)

[10]

Cheng H., Zhu L., Wu L., Modulation classification algorithm for jamming signal based on cumulant, Journal of Electronics & Information Technology, 31, 7, pp. 1741-1745, (2009)

← 1 2 →