Evaluation of clipping based iterative PAPR reduction techniques for FBMC systems

Area of Science:

• Electrical Engineering
• Signal Processing
• Wireless Communications

Background:

• Filter Bank Multicarrier (FBMC) offers superior spectral efficiency and Adjacent Channel Leakage Ratio (ACLR) compared to Orthogonal Frequency Division Multiplexing (OFDM).
• High Peak-to-Average Power Ratio (PAPR) in FBMC signals can lead to nonlinearities and spectral regrowth, degrading performance, especially in cognitive radio.

Purpose of the Study:

• To investigate and present novel clipping-based techniques for reducing the PAPR of FBMC signals.
• To evaluate these techniques focusing on spectral aspects and their impact on out-of-band radiation.
• To compare different PAPR reduction methods for FBMC systems.

Main Methods:

• Development and simulation of novel clipping-based PAPR reduction techniques for FBMC.
• Experimental evaluation and comparison of these techniques.
• Analysis of spectral regrowth and out-of-band radiation post-clipping.
• Overview of transmitter-oriented techniques using baseband clipping.

Main Results:

• The proposed clipping techniques effectively reduce the dynamic range (PAPR) of FBMC signals.
• These methods minimize spectral regrowth, preserving the advantageous spectral properties of FBMC.
• System performance, including Bit Error Rate (BER), is maintained with the proposed techniques.

Conclusions:

• Clipping-based PAPR reduction is effective for FBMC signals, particularly for cognitive radio applications.
• The presented techniques successfully mitigate nonlinear distortion without increasing out-of-band radiation.
• Baseband clipping techniques can maintain desired system performance and BER.