4^th order statistics based blind channel estimation for multicarrier transmission

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.

Blind channel estimation for FBMC‐based PMR transmission

“…The sequel of this section is based on the simple property of the Fourier Transform operator F. If we introduce the continuous time channel impulse response h ( t ), then we have and We will now propose to calculate the inverse Fourier Transform of the 4th‐order estimation of the channel frequency response in order to identify an estimation of the 4th‐order auto‐convolution of the channel impulse response . Then, we will propose an auto‐deconvolution algorithm, previously developed for OFDM , in order to estimate the channel impulse response itself.…”