Transformation of any Adding Signal Technique in Tone Reservation Technique for PAPR Mitigation thanks to Frequency Domain Filtering
Résumé
Orthogonal Frequency Division Multiplexing (OFDM) suffers from a high Peak-to-Average Power Ratio (PAPR). Tone Reservation (TR) is a popular PAPR reduction technique that uses a set of reserved subcarriers to carry the peak reducing signal. The major advantages of TR technique include no transmission performance degradation, no transmission of Side Information (SI) and downward compatibility. Because of all these benefits, TR seems to be promising for use in commercial standards such as Digital Video Broadcasting- Terrestrial (DVB-T2). Thanks to a frequency domain filtering , in this paper, which is an extension of [1], we propose Classical Transformation (CT) and Adaptive Transformation (AT) algorithms to transform Adding Signal techniques (like clipping techniques) to TR techniques in order to benefit of the TR advantages. As the transformation is a low-complexity process (about the FFT/IFFT complexity), the obtained technique results in a low-complexity TR technique. However, the transformation generates a loss of performance in PAPR reduction, which can be improved by iterating the process of transformation. Later in the paper, several Adding Signal techniques (as well-known clipping techniques) are transformed to TR techniques. Performance comparisons are done based on Complementary Cumulative Distribution Function (CCDF), Bit Error Rate (BER) and Power Spectral Density (PSD) metrics. The simulation results showed that, at the same PAPR reduction gain, CT algorithm is 2 times more complex than AT algorithm.