Abstract
High peak-to-average power ratio (PAPR) is considered as a critical issue in modern multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. This underlying drawback can be overcome by employing partial transmit sequence (PTS) method. The complexity of computation by this method is quite high since phase factors are searched comprehensively to optimally reduce PAPR. Enhanced switching differential (ESD) algorithm is incorporated into PTS scheme to solve the problem of high search complexity. In this work, adaptive update lifting (AUL)-based wavelet transform method is proposed that enhanced the system performance by decreasing high side lobes, while enhancing implementation flexibility and sensitivity to time and frequency synchronization. Lastly, a combination of turbo coding and ESD-based PTS scheme is presented for improvement in the reduction in PAPR, bit error rate (BER) and computational complexity in AUL-based MIMO-OFDM system. Turbo decoder allows error correction and phase factor searching function in an efficient way. Analysis of the theoretical performance of the suggested scheme is performed with relevant formulas, and comparative studies with the existing techniques are also presented here. MATLAB simulation outcomes confirm that the suggested hybrid technique is able to reduce PAPR and improve BER to a significant extent with low search computational complexity compared to others.
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