Companding and clipped filtering based Hybrid Technique for PAPR reduction of FBMC-OQAM


Amitendra Shukla, M. Tech Scholar, Ravi Jaiswal, Assistant Professor
Department of Electronics & Communication Engineering, Goel Institute of Technology & Management, Lucknow, India.

Shreeom Mishra
Assistant Professor, Department of Electronics & Communication Engineering, IET, Dr. RML Awadh University, Ayodhya, India.


For transmitting QAM signals, a sensor subcarrier – quadrature amplitude modulated (FBMC-QAM) system using two-sample filters is presented. Filtration for even post symbols and odd-numbered sub-carrier symbols is done separately in the proposed transmitter. Multicarrier transmission, which sends data over the channel in several frequency subcarriers at a lower data rate, has become popular in this situation. A potential waveform for 5G is the filter bank multicarrier system, which is an efficient multicarrier system. FBMC has a high Highest point Power Ratio (PAPR), similar to OFDM and other multicarrier systems, which necessitates the use of high-power amplification with a wide dynamic range. Precoding methods are employed to reduce PAPR at the cost of BER performance loss. A unique application of A-law and Mu-law companding methods for PAPR reduction of the FBMC-OQAM method is proposed in this work. Utilizing A-law and Mu-law companding algorithms, the paper also analyses the tradeoff between Parameter estimation and FBMC-OQAM Bit error efficiency. The PAPR of the system has decreased significantly as a result of the simulated results, but the BER has increased. Both companding strategies yielded mixed results, with Mu-law companding marginally outperforming A-law companding in terms of PAPR reduction. However, A-law companding has a higher BER than mu-law companding.