5G系统中随机接入基带信号生成算法的研究与FPGA实现

RESEARCH AND FPGA IMPLEMENTATION OF RANDOM ACCESS BASEBAND SIGNAL GENERATION ALGORITHM IN 6G SYSTEM

  • 摘要: 针对 5G 随机接入基带信号生成算法计算量大且难以实现的问题,提出一种分组交织的随机接入基带 信号生成算法。将基带信号生成过程中的大点数离散傅里叶逆变换(Inverse Discrete Fourier Transformation , IDFT) 划分成多组小点数快速傅里叶逆变换(Inverse Fast Fourier Transform , IFFT) 分别乘以对应的修正系数,对各小组 数据进行 IFFT 运算和交织。仿真表明,该算法与直接使用 IDFT 生成的信号之间均方误差仅为1.66 ×10 - 33,且相较于传统算法,算法复杂度更低。在 FPGA 平台上验证了该方案的可行性和有效性。

     

    Abstract: Aimed at the problem that the 5G random access baseband signal generation algorithm is computationally intensive and difficult to implement, a packet-interleaved random access baseband signal generation algorithm is proposed. The large-point inverse discrete Fourier transform (IDFT) during baseband signal generation was divided into multiple sets of small point inverse fast Fourier transforms (IFFT) multiplied by the corresponding correction coefficients, and IFFT operation and interleaving were performed on each group data. Simulation results show that the mean square error between the proposed algorithm and the signal generated directly using IDFT is only 1.66×10 -33 , and this method has lower complexity compared with traditional algorithms. The feasibility and effectiveness of the scheme is verified on the field programmable gate array (FPGA) platform.

     

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