PAPR Reduction in OFDM Systems Using Hybrid Iterative Clipping and Filtering with Alternating μ-Law Companding
摘要
In many broadband wireless communication systems, orthogonal frequency division multiplexing (OFDM) commonly used data transmission approach, with a major drawback of high peak-to-average power ratio (PAPR). This research introduces a novel hybrid approach combining an iterative clipping and filtering (ICF), a clipping scheme and alternating μ-law companding (AULC), a companding technique (hybrid ICF-AULC) for processing the signal. The ICF technique is widely known for PAPR reduction through iterations and filtering on the PAPR peaks and AULC also contributes for PAPR reduction solution along with less computational load by dividing the transmission signal into two groups to compand selectively. The work focuses on obtaining optimized PAPR reduction and the bit error rate (BER) performance at the same time. The proposed hybrid ICF-AULC achieved a PAPR of 1.97 dB when compared to standard hybrid techniques such as regularization optimization-based flexible hybrid companding and clipping scheme (ROFHCC) and palm clipping and nonlinear companding (PC-NLC) technique when implemented in proposed simulation.