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Multiple Invariance MUSIC-Based Blind Carrier Frequency Offset Estimation for OFDM System with Multi-Antenna Receiver

机译:基于多不变性MUSIC的多天线接收器OFDM系统盲载波频率偏移估计

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摘要

In this paper, we address the problem of carrier frequency offset (CFO) estimation for orthogonal frequency division multiplexing (OFDM) systems with multi-antenna receiver. The received signal can be reconstructed to form data model with multi-invariance property, and then a multi-invariance MUSIC algorithm for CFO estimation is proposed. This algorithm has better performance of CFO estimation than ESPRIT method, multi-invariance ESPRIT method and trilinear decomposition algorithm, and also qualifies the estimation for both integer CFO and fractional CFO. Simulation results illustrate validity of this algorithm.
机译:在本文中,我们解决了具有多天线接收器的正交频分复用(OFDM)系统的载波频偏(CFO)估计问题。可以重建接收到的信号以形成具有多不变性的数据模型,然后提出一种用于CFO估计的多不变MUSIC算法。该算法具有比ESPRIT方法,多不变ESPRIT方法和三线性分解算法更好的CFO估计性能,并且对整数CFO和分数CFO的估计都具有资格。仿真结果说明了该算法的有效性。

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