Inverse Technique: MIMO-OFDM Channel Estimation and PAPR Reduction

نویسنده

  • K. Niranjan Kumar
چکیده

In general, for wireless communication systems, Multiple-Input-Multiple-Output and orthogonal frequency division multiplexing (MIMO-OFDM) systems provide high spectral efficiency. However, they have a major drawback of high PAPR which results in inefficient use of a power amplifier and also improper detections. Now a days, in wireless communication systems, channel estimation is mandatory for higher data rates with low bit error rates. The use of OFDM causes a high peak-toaverage power ratio (PAPR), which necessitates expensive and power-inefficient radio-frequency (RF) components at the base station. The proposed precoder focused around the summed up converse is made out of two sections. One is for minimizing PAPR, and the other is for getting the multiplexing addition. Additionally, the proposed precoder contains a scalar parameter β that measures the got signal-to-noise power ratio (SNR) misfortune at the expense of PAPR diminishment. Indeed in instances of little SNR misfortune, the proposed plan drastically lessens PAPR. Moreover, reenactment results demonstrate that we can acquire a PAPR near to 0.5 by utilizing many transmission radio wires with little SNR misfortune.

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تاریخ انتشار 2016