In this paper we propose a novel signal to noise ratio algorithm based on the moments of the received signal. The novel algorithm has been designed for Multi Band Orthogonal Frequency Division Multiplexing (MB-OFDM) communication systems in ultra wide band channels. The proposed algorithm is a switched estimator that uses two equation models, one is for large SNR scale and the other for low SNR scale. The proposed model can be used for SNR estimation in adaptive modulation and channel estimation and link quality control in MB OFDM systems. This algorithm can be implemented in receivers with simple structures. The performance of the proposed SNR estimation algorithm and its comparison with other SNR estimators was achieved through simulation...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
In this paper a new signal to noise ratio estimator algorithm based on the moments of the received s...
Abstract—Orthogonal frequency division multiplexing (OFDM) offers high data rates and robust perform...
A novel front-end noise power and SNR estimation technique based on one OFDM preamble is proposed an...
AbstractSNR is a crucial parameter for OFDM system and the assistant technology thereof such as Turb...
Signal-to-noise ratio (SNR) estimation is commonly used in wireless receivers to enhance the perform...
AbstractSNR is a crucial parameter for OFDM system and the assistant technology thereof such as Turb...
In this paper, noise power and signal-to-noise ratio (SNR) estimations for OFDM based wireless commu...
Orthogonal Frequency Division Multiplexing (OFDM) systems have received a lot of attention because ...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
In this paper a new signal to noise ratio estimator algorithm based on the moments of the received s...
Abstract—Orthogonal frequency division multiplexing (OFDM) offers high data rates and robust perform...
A novel front-end noise power and SNR estimation technique based on one OFDM preamble is proposed an...
AbstractSNR is a crucial parameter for OFDM system and the assistant technology thereof such as Turb...
Signal-to-noise ratio (SNR) estimation is commonly used in wireless receivers to enhance the perform...
AbstractSNR is a crucial parameter for OFDM system and the assistant technology thereof such as Turb...
In this paper, noise power and signal-to-noise ratio (SNR) estimations for OFDM based wireless commu...
Orthogonal Frequency Division Multiplexing (OFDM) systems have received a lot of attention because ...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceThis article presents an iterative minimum mean square error- (MMSE-) based me...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...
International audienceIn this article, the authors study the convergence of an iterative algorithm f...