4th order statistics based blind channel estimation for multicarrier transmission

Rabah Maoudj, Iness Ahriz, Adrien Savarit, L. Féty, M. Terré
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引用次数: 5

Abstract

This paper presents a blind channel estimation algorithm for multicarrier systems. The proposed scheme is based on fourth order statistics estimation of received data followed by a Gauss linearization of a non-linear system. The channel estimation is performed over a very short number of symbols in order to stay compliant with the channel coherence time. The proposed approach is well suited to CP-OFDM system transmitting circular M-QAM communication symbols but, being not based on the cyclic prefix properties, it could be applied, with some adjustments, to filterbank multicarrier waveforms transmitting M-OQAM communication symbols. The blind algorithm presented provides finally an increase of the useful throughput and it gives a high flexibility for the waveform usage, avoiding the difficult time and frequency pilot location optimization problem.
基于四阶统计量的多载波盲信道估计
提出了一种适用于多载波系统的盲信道估计算法。该方案基于接收数据的四阶统计量估计,然后对非线性系统进行高斯线性化。为了与信道相干时间保持一致,信道估计在非常短的符号数上执行。该方法适合于CP-OFDM系统传输圆形M-QAM通信符号,但由于该方法不基于循环前缀的特性,在进行一些调整后,可以应用于传输M-OQAM通信符号的滤波器组多载波波形。提出的盲算法不仅提高了有效吞吐量,而且为波形的使用提供了很高的灵活性,避免了困难的时间和频率导频位置优化问题。
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