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首页> 外文期刊>Vehicular Technology, IEEE Transactions on >AFD-DFE Using Constraint-Based RLS and Phase Noise Compensation for Uplink SC-FDMA
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AFD-DFE Using Constraint-Based RLS and Phase Noise Compensation for Uplink SC-FDMA

机译:使用基于约束的RLS和相位噪声补偿的AFD-DFE用于上行SC-FDMA

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摘要

In this paper, we develop a constraint-based block recursive least-squares (CRLS) for an adaptive frequency-domain decision feedback equalizer (AFD-DFE) in uplink single-carrier frequency division multiple access systems. For the AFD-DFE, both the feedforward and feedback filters are implemented in the frequency domain; therefore, the CRLS complexity can be reduced substantially when compared to its time-domain counterpart by exploiting the matrix structure in the frequency domain. The performance of the CRLS algorithm is better than that of the RLS when applied to the AFD-DFE, with no increase in the computational complexity. Our designed AFD-DFE with CRLS not only enjoys a lower computational complexity when compared to the frequency-domain channel-estimate-based minimum mean square error DFE (MMSE DFE), but its performance is also better than that of the MMSE DFE with decision errors (practical case) and is close to the MMSE DFE with correct decisions (ideal case). Moreover, we iteratively compensate the transmitter and receiver phase noise using its properties in the time and frequency domains. Simulation results demonstrate the robustness of our designed AFD-DFE using CRLS.
机译:在本文中,我们为上行链路单载波频分多址系统中的自适应频域决策反馈均衡器(AFD-DFE)开发了基于约束的块递归最小二乘(CRLS)。对于AFD-DFE,前馈滤波器和反馈滤波器均在频域中实现。因此,与时域相比,通过利用频域中的矩阵结构,可以大大降低CRLS的复杂度。当应用于AFD-DFE时,CRLS算法的性能优于RLS,而不会增加计算复杂度。与基于频域信道估计的最小均方误差DFE(MMSE DFE)相比,我们设计的带有CRLS的AFD-DFE不仅具有较低的计算复杂度,而且其性能也优于具有决策能力的MMSE DFE。错误(实际情况),并且具有正确决策的MMSE DFE(理想情况)。此外,我们利用其在时域和频域中的属性来迭代地补偿发射器和接收器的相位噪声。仿真结果证明了我们使用CRLS设计的AFD-DFE的鲁棒性。

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