On Blind Symbol-Timing Estimation for FBMC Systems: The Case of FBMC-PAM

D. Mattera, M. Tanda, M. Bellanger
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Abstract

This paper deals with the problem of blind symbol timing estimation for filter bank multicarrier systems with pulse amplitude modulation (FBMe-PAM). In FBMe-PAM a sequence of real-valued symbols can be transmitted over 2 $M$ spectrally separated subcarriers operating at the same symbol rate as OFDM. This recently proposed system exhibits many advantages in comparison with the OFDM system; in particular, it does not require a cyclic prefix and, in the multi-user context, it provides a high level of spectral separation among users. In this paper is derived the maximum likelihood (ML) blind symbol timing estimator for AWGN channel under the assumption of low SNR conditions. Since the FBMe-PAM signal is a noncircular random process (i.e., its conjugate correlation function or relation function is different from zero), the obtained ML estimator exploits both the conjugate and the unconjugate correlation. In addition, a closed-form low-complexity blind estimator exploiting only the unconjugate correlation, is proposed. The performance of the derived estimators, assessed via computer simulation, is compared with that of the two estimators obtained by separately maximizing the contribution to the ML cost function exploiting the unconjugate correlation or the conjugate correlation.
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FBMC系统的盲符号时序估计:以FBMC- pam为例
研究了脉冲调幅滤波器组多载波系统的盲符号时序估计问题。在FBMe-PAM中,一个实值符号序列可以在与OFDM相同的符号速率下,在2 $M$频谱分离的子载波上传输。与OFDM系统相比,该系统具有许多优点;特别是,它不需要循环前缀,并且在多用户环境中,它在用户之间提供了高水平的频谱分离。本文推导了低信噪比条件下AWGN信道的最大似然盲码定时估计方法。由于FBMe-PAM信号是一个非圆随机过程(即其共轭相关函数或关系函数不等于零),因此得到的ML估计量同时利用了共轭和非共轭相关。此外,提出了一种仅利用非共轭相关的闭型低复杂度盲估计器。通过计算机模拟评估所得估计器的性能,并与利用非共轭相关或共轭相关分别最大化对ML成本函数的贡献而获得的两个估计器的性能进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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