A novel crest factor reduction technique using memoryless polynomials

Nowadays, different kinds of techniques to reduce the high peak-to-average power ratio (PAPR) of WCDMA and LTE signals are known. Most of them are based on a computationally intensive and iterative optimization of the baseband signal to avoid uncontrolled distortions when decreasing the peaks. Moreover, all the approaches with high performance inherently introduce memory effects on the output signal, which increase the complexity of the transmitter behaviour. This paper presents a novel method to perform crest factor reduction (CFR) based on memoryless polynomials. An optimization problem is used to find the best polynomial coefficients adapted to the input signal statistic in order to reduce the peaks fulfilling at the same time the 3GPP requirements. In this way, simple polynomials can be used to reduce the PAPR up to 1.8 dB, having a low complexity and a memoryless implementation.