The paper presents a blind channel estimation algorithm for an filter bank multicarriers waveform in a fast varying channel context for professional mobile radio transmissions. A fourth‐order power elevation algorithm, followed by an auto‐deconvolution step, directly leading to the channel impulse response estimation, is developed. Simulation results are adapted to the Tetra enhanced data services standard context for hilly terrain propagation model. Copyright © 2016 John Wiley & Sons, Ltd.

No abstract

Abstract-This paper presents an implementation on the fixed-point DSP chip of an interference cancellation algorithm containing a linear system. Difficulty in matching the algorithms performance obtained in full precision (IEEE float-point) implementation to those given by a finite precision tends to increase when the algorithms contains one or several linear system to solve.Gauss and Cholesky methods are implemented. Their performance results are showed and compared. The global implementation margins are discussed.

This paper focuses on the performance analysis of a linear system solving based on Cholesky decomposition and QR factorization, implemented on 16bits fixed-point DSP-chip (TMS320C6474). The classical method of Cholesky decomposition has the advantage of low execution time. However, the modified Gram-Schmidt QR factorization performs better in term of robustness against the round-off error propagation. In this study, we have proposed a third method called Modified Gram-Schmidt Cholesky Decomposition. We have shown that it provides a compromise of the two performance criterias cited above. A joint theoretical and experimental analysis of global performance of the three methods has been presented and discussed.

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.