Filter Bank Multi-Carrier (FBMC) system based on offset Quadrature Amplitude Modulation (offset-QAM) combined with Multiple-Input-Multiple-Output (MIMO) technique faces great challenges. The inherent imaginary interference of FBMC seriously impacts the performance of the Maximum Likelihood (ML) detection technique in MIMO transmission. The application of the Alamouti code is also hindered. In this paper, we present a data-compressed transmission method based on non-sinusoidal orthogonal transformation, which can recover the bi-orthogonality of FBMC and eliminate the imaginary interference. Thereby, the combination of FBMC and MIMO as well as the application of ML technique and Alamouti code are realized. Specifically, we first consider the Walsh transform, which belongs to the non-sinusoidal orthogonal transform, and utilize its property that can reduce the transmission bandwidth to recover the orthogonality of the FBMC in the frequency domain. Secondly, we construct the discrete transmission model of the system and generate the orthogonal compression matrix utilizing the fast Walsh transform. Then, we analyze the multi-frame transmission, calculate the frames interference, and improve the signal-to-interference ratio again by adding guard time slots. Finally, we construct the MIMO transmission model and complete the theoretical analysis. Simulation results show that the proposed scheme has a robust MIMO transmission performance. ML and Alamouti code techniques perform the same as Orthogonal Frequency Division Multiplex in bi-orthogonal FBMC.

中文翻译：

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基于非正弦正交变换的FBMC系统双正交恢复与MIMO传输

基于偏置正交幅度调制（offset-QAM）与多输入多输出（MIMO）技术相结合的滤波器组多载波（FBMC）系统面临着巨大的挑战。 FBMC固有的虚干扰严重影响了MIMO传输中最大似然(ML)检测技术的性能。 Alamouti代码的应用也受到阻碍。本文提出一种基于非正弦正交变换的数据压缩传输方法，可以恢复FBMC的双正交性并消除虚部干扰。从而实现了FBMC与MIMO的结合以及ML技术和Alamouti码的应用。具体来说，我们首先考虑沃尔什变换，它属于非正弦正交变换，利用其可以减少传输带宽的特性来恢复FBMC在频域的正交性。其次，我们构建了系统的离散传输模型，并利用快速沃尔什变换生成正交压缩矩阵。然后，我们分析多帧传输，计算帧干扰，并通过添加保护时隙再次提高信干比。最后构建了MIMO传输模型并完成了理论分析。仿真结果表明，该方案具有鲁棒的MIMO传输性能。 ML 和 Alamouti 码技术的性能与双正交 FBMC 中的正交频分复用相同。