NDLI: Higher order statistics for modulation and STBC recognition in MIMO systems

Content Provider	IET Digital Library
Author	Khosraviyani, Mokhtar Kalbkhani, Hashem Shayesteh, Mahrokh G.
Abstract	Identification of modulation and space-time block code (STBC) is an important task of receivers in applications such as military, civilian, and commercial communications. Here, we consider multiple-input multiple-output (MIMO) systems. We propose two methods for STBC identification when the modulation is known. We also introduce a method for joint identification of code and modulation. Additionally, we present an enhanced zero-forcing (ZF) equaliser to improve the separation between the features of different classes. Higher order cumulants are used as the statistical features. In the first method of STBC identification, after the proposed equalisation, received data samples are segmented, and then using the mean and Frobenius norm of the covariance matrix of extracted cumulants as threshold values, the STBCs are detected. This method requires the knowledge of the threshold values for each modulation type and noise power. In the second method, the knowledge of noise power and the type of modulation are not needed. After the proposed ZF equalisation, feature vector based on the cumulants is calculated, and then support vector machine (SVM) classifier is used to classify different STBCs. In the third method, joint detection of STBC and modulation type is performed using the proposed ZF equaliser and mapping the received samples. This method deals with the theoretical values calculated from the cumulants of four STBCs and four modulations, where there is no need to know the noise power. The results indicate that the proposed methods perform well even at low signal-to-noise ratios (SNRs).
Starting Page	2436
Ending Page	2446
Page Count	11
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 16, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5497
Journal	IET Communications
Publisher Date	2019-06-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Code Communication Computing Covariance Matrices Covariance Matrix Data Handling Technique Equaliser Feature Vector Frobenius Norm Higher Order Cumulants Higher Order Statistics Joint Detection Joint Identification Knowledge Engineering Technique MIMO Communication MIMO System Modulation Type Multiple-input Multiple-output System Noise Power Pattern Classification Radio Link And Equipment Signal to Noise Ratio Space-time Block Code Statistical Feature Statistics STBC Identification STBC Recognition Support Vector Machine Support Vector Machine Classifier SVM Classifier Telecommunication Computing Threshold Value Zero-forcing Equaliser ZF Equaliser
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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