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A novel subspace-based carrier frequency offset estimator for OFDM-based WLANs with DC offset

机译:具有DC偏移的基于OFDM的WLAN的新型基于子空间的载波频率偏移估计器

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Orthogonal frequency-division multiplexing (OFDM) has been considered as a promising candidate technology for high speed wireless communication systems. However, the orthogonality between subcarriers is destroyed in the presence of carrier frequency offset (CFO), which results in system performance degradation. This problem is further complicated by the presence of direct current offset (DCO) in direct conversion receivers (DCRs). In this paper, we propose a novel method to efficiently estimate both the CFO and the DCO for the OFDM-based wireless local area networks (WLANs). In this method, we utilize the periodicity and correlation of the training symbols in the preamble and design a null space separation method to decouple the CFO and the DCO variables. After the CFO estimation is obtained, the DCO can be easily estimated. Simulation results show that compared to previously published methods, the proposed method achieves near Cramer-Rao lower bound (CRB) with high efficiency.
机译:正交频分复用(OFDM)被认为是高速无线通信系统的有前途的候选技术。但是,在存在载波频率偏移(CFO)的情况下,子载波之间的正交性被破坏,这导致系统性能下降。直接转换接收器(DCR)中存在直流偏移(DCO),使该问题更加复杂。在本文中,我们提出了一种新颖的方法来有效地估计基于OFDM的无线局域网(WLAN)的CFO和DCO。在这种方法中,我们利用前导中训练符号的周期性和相关性,并设计了一种空空间分离方法来解耦CFO和DCO变量。获得CFO估算后,可以轻松估算DCO。仿真结果表明,与以前发表的方法相比,该方法可以高效地实现接近Cramer-Rao下界(CRB)。

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