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1887

access icon free Higher order statistics for modulation and STBC recognition in MIMO systems

© The Institution of Engineering and Technology
Received 07/06/2018, Accepted 03/06/2019, Revised 21/04/2019, Published 07/06/2019

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).

Inspec keywords: space-time block codes; support vector machines; telecommunication computing; higher order statistics; MIMO communication; covariance matrices; equalisers; pattern classification

Other keywords: STBC identification; signal-to-noise ratios; joint detection; zero-forcing equaliser; SVM classifier; threshold values; space-time block code; higher order cumulants; modulation type; ZF equaliser; higher order statistics; statistical features; support vector machine classifier; MIMO systems; joint identification; noise power; feature vector; Frobenius norm; covariance matrix; STBC recognition; multiple-input multiple-output systems

Subjects: Algebra; Other topics in statistics; Data handling techniques; Codes; Knowledge engineering techniques; Algebra; Radio links and equipment; Other topics in statistics; Communications computing

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