论文标题
部分可观测时空混沌系统的无模型预测
Low complexity equalization for AFDM in doubly dispersive channels
论文作者
论文摘要
仿射频施加多路复用（AFDM）基于离散的仿射傅立叶变换（DAFT），最近已提出在高弹性方案中可靠的通信。此处引入了两个低复杂性检测器。通过将null符号放置在DAFT域中的AFDM帧中，将通道矩阵近似为频段矩阵，通过$ \ rm {ldl} $分解提出了低复杂性MMSE检测。此外，利用通道矩阵的稀疏性，我们根据加权最大比组合（MRC）提出了低复杂性迭代反馈均衡器（DFE），该组合（MRC）提取并结合了DAFT域中传输符号的接收多径元组件。仿真结果表明，当通道脉冲响应的差距间隙时，所提出的检测器的性能相似，而基于加权MRC的DFE的复杂性低于Band-Matrix-Approximation LMMSE。
Affine Frequency Division Multiplexing (AFDM), which is based on discrete affine Fourier transform (DAFT), has recently been proposed for reliable communication in high-mobility scenarios. Two low complexity detectors for AFDM are introduced here. Approximating the channel matrix as a band matrix via placing null symbols in the AFDM frame in the DAFT domain, a low complexity MMSE detection is proposed by means of the $\rm{LDL}$ factorization. Furthermore, exploiting the sparsity of the channel matrix, we propose a low complexity iterative decision feedback equalizer (DFE) based on weighted maximal ratio combining (MRC), which extracts and combines the received multipath components of the transmitted symbols in the DAFT domain. Simulation results show that the proposed detectors have similar performance, while weighted MRC-based DFE has lower complexity than band-matrix-approximation LMMSE when the channel impulse response has gaps.
