Abstract
In this paper, a recursive least squares linear equalizer is used for receiving the data with less errors. In this process the data is modulated using the compressive sensing based index modulation in order to increase the spectral efficiency. This process reduces the BER and PAPR than the existing methods. This method can be mainly used in the green radio communications. This equalizes the data obtained at the receiver side. This recursive equalized based sparse index modulation can be used to reduce the noise in the receiver side. The results have been investigated using MATLAB Tool with the required number of tool boxes and blocksets.
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Nagaraju, C.H., Raju, B.N. (2022). Recursive Least Squares Linear Equalizer for Spectral Efficiency Enhancement in Green Radio Communications. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2020. Lecture Notes in Electrical Engineering, vol 783. Springer, Singapore. https://doi.org/10.1007/978-981-16-3690-5_137
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DOI: https://doi.org/10.1007/978-981-16-3690-5_137
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