Insights Gained by Visualization of a Wireless Channel Output using Self-Organizing Maps
نویسنده
چکیده
The self-organizing map is an algorithm which can be used to establish the presence of various categories in a given numerical and non-numerical data and to visualize the complex topographical relations between the various such categories in a low dimensional and easily comprehensible display. In this paper, SOM has been used to visualize the output of a wireless channel in the presence of inter-symbol interference. An analysis of the symbol classification errors of the channel based on the constructed SOM has also been performed. A visualization of how the classification of channel outputs corresponding to various constellation points in a 16QAM constellation is influenced by the value of their in-phase and quadrature components is presented. It is found that classification of various channel outputs is influenced to varying degrees by the value of their in-phase and quadrature
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