Filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) has been studied as an alternative waveform for post-orthogonal frequency division multiplexing (OFDM) wireless communications. However, due to the intrinsic imaginary inter-carrier/inter-symbol interference of FBMC/OQAM signals, accurate channel estimation and equalization remain open issues for FBMC/OQAM systems in dispersive channels. In this article, two new signal models of the analysis filter bank (AFB) output are first derived in the absence of any channel assumption and in the presence of a relaxed channel assumption, respectively. Based on the new-built models, initial channel estimation with least squares (LS) (IniCE-LS) is presented and its output is used as the initial condition of recursive weighted LS (RWLS) estimation; moreover, non-iterative and iterative channel equalization combined with RWLS channel estimation (i.e., N-ICE-RWLS and ICE-RWLS) are proposed by using the real-time reconstructed FBMC/OQAM data symbols as pilots. The proposed N-ICE-RWLS and ICE-RWLS schemes not only allow to improve channel estimation and equalization performance, but also achieve high transmission efficiency. Considering the requirements of practical application, we further develop the low-complexity implementation methods of N-ICE-RWLS and ICE-RWLS. All these schemes are validated by analyzing the channel estimation accuracy and bit error rate (BER) over various frequency selective channels.

中文翻译：

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使用用于 FBMC/OQAM 系统的新 AFB 输出信号模型的联合信道估计和均衡

具有偏移正交幅度调制 (FBMC/OQAM) 的滤波器组多载波已被研究作为后正交频分复用 (OFDM) 无线通信的替代波形。然而，由于 FBMC/OQAM 信号固有的假想载波间/符号间干扰，准确的信道估计和均衡对于色散信道中的 FBMC/OQAM 系统来说仍然是悬而未决的问题。在本文中，分析滤波器组 (AFB) 输出的两个新信号模型首先分别在没有任何信道假设和存在松弛信道假设的情况下推导出来。基于新建立的模型，提出了最小二乘（LS）的初始信道估计（IniCE-LS），并将其输出作为递归加权LS（RWLS）估计的初始条件；而且，通过使用实时重构的FBMC/OQAM数据符号作为导频，提出了结合RWLS信道估计（即N-ICE-RWLS和ICE-RWLS）的非迭代和迭代信道均衡。所提出的 N-ICE-RWLS 和 ICE-RWLS 方案不仅可以提高信道估计和均衡性能，还可以实现高传输效率。考虑到实际应用的需要，我们进一步开发了N-ICE-RWLS和ICE-RWLS的低复杂度实现方法。所有这些方案都通过分析各种频率选择性信道上的信道估计精度和误码率 (BER) 来验证。所提出的 N-ICE-RWLS 和 ICE-RWLS 方案不仅可以提高信道估计和均衡性能，还可以实现高传输效率。考虑到实际应用的需要，我们进一步开发了N-ICE-RWLS和ICE-RWLS的低复杂度实现方法。所有这些方案都通过分析各种频率选择性信道上的信道估计精度和误码率 (BER) 来验证。所提出的 N-ICE-RWLS 和 ICE-RWLS 方案不仅可以提高信道估计和均衡性能，还可以实现高传输效率。考虑到实际应用的需要，我们进一步开发了N-ICE-RWLS和ICE-RWLS的低复杂度实现方法。所有这些方案都通过分析各种频率选择性信道上的信道估计精度和误码率 (BER) 来验证。