Showing papers by "Vincent Choqueuse published in 2009"
01 Jan 2009
TL;DR: This study extends the problem for multiple-antennas (MIMO) systems and adopts a Maximum Likelihood approach for the blind recognition of the modulation and considers two different situations.
Abstract: The blind recognition of communication parameters is an important research topic in both commercial and civilian systems. In this paper, we investigate the blind recognition of the modulation. Currently most part of the existing algorithms assumes that the transmitter uses a single-antenna. This study extends the problem for multiple-antennas (MIMO) systems. We adopt a Maximum Likelihood approach for the blind recognition of the modulation and we consider two different situations. First, we assume the channel knowledge at the receiver side and we expose the optimal solution which is called Average Likelihood Ratio Test (ALRT). Then, we relax this assumption and we propose a second method based on a Hybrid Likelihood Ratio Test (HLRT).
72 citations
15 Jun 2009
TL;DR: The issue addressed in this paper is the modulation recognition for MIMO communications under the assumption of a perfect symbol timing and the optimal solution is developed based on Average Likelihood Ratio Tests and an al- ternative solution based on Hybrid Likelihood ratio Tests is proposed.
Abstract: The blind recognition of communication parameters is an important research topic in both commercial and civilian systems. In this paper, we investigate the blind recognition of the modulation. Currently most part of the existing algorithms assumes that the transmitter uses a single-antenna. This study extends the problem for multiple-antennas (MIMO) systems. We adopt a Maximum Likelihood approach for the blind recognition of the modulation and we consider two different situations. First, we assume the channel knowledge at the receiver side and we expose the optimal solution which is called Average Likelihood Ratio Test (ALRT). Then, we relax this assumption and we propose a second method based on a Hybrid Likelihood Ratio Test (HLRT).
7 citations