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Simplified pilot-aided weighted least square phase estimation method for OFDM-based WLANs

机译:基于OFDM的WLAN的简化导频辅助加权最小二乘阶段估计方法

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摘要

In this paper, we propose a simplified weighted least square (SWLS) to estimate phase variations utilizing pilots, for Orthogonal Frequency Division Multiplexing (OFDM) based very high throughput wireless local area networks (WLANs). For SWLS, the common phase error (CPE) maximum likelihood (ML) estimation and the angle boundary treatment are improved to enhance the performance of phase estimation, while the combined scheme of pair pilots is used to reduce the complexity. Simulation results show that, compared to weighted least square (WLS) scheme, a similar pocket error rate (PER) is achieved by using the SWLS method, but more than 40 percent of complexity is reduced.
机译:在本文中,我们提出了一种简化的加权最小二乘(SWL)来利用导频的阶段变化,用于基于正交频分复用(OFDM)的非常高吞吐量无线局域网(WLAN)。对于SWL,改进了公共相位误差(CPE)最大似然(ML)估计和角度边界处理以增强相位估计的性能,而对导频的组合方案用于降低复杂性。仿真结果表明,与加权最小二乘(WLS)方案相比,通过使用SWL方法实现了类似的口袋误差率(每个),但减少了超过40%的复杂性。

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