Envelope Fluctuation Reduction for WiMAX MIMO-OFDM Signals Using Adaptive Network Fuzzy Inference Systems

In this article, the envelope fluctuation i.e., peak-to-average power ratio (PAPR) reduction technique is developed and analyzed using an Adaptive-Network based Fuzzy Inference System (ANFIS) for multiple input multiple output combined with orthogonal frequency division multiplexing (MIMO-OFDM) system under fading environment. The proposed method involves the training of ANFIS structure by the MIMO-OFDM signals with low PAPR obtained from the active gradient project (AGP) method, and then combined with partial transmit sequence (PTS) PAPR reduction technique. This method approximately reaches the PAPR reduction as the active partial sequence (APS) method, with significantly less computational complexity and convergence time. The results depict that proposed scheme performs better other conventional than that of the other conventional schemes.