An Adaptive Peak-to-Average Power Ratio Suppression Method

Abstract

The invention provides a self-adaptive peak-to-average ratio inhibition method. By means of the method, a compression parameter can be adjusted self-adaptively according to an input signal; the signal peak value can be effectively compressed; the peak-to-average power ratio (PAPR) of a modulated signal can be reduced; simultaneously, adjustable gain is changed self-adaptively according to the modulated signal and the compression parameter; and the average power of the signal before and after being compressed is constant. Compared with the traditional PAPR inhibition method based on mu compression, the PAPR inhibition method provided by the invention has the advantages that: on the premise that the average power of the signal before and after being compressed is constant, the signal peak value is compressed; and the PAPR of the signal is inhibited.

Description

technical field [0001] The present invention relates to radio communication technology, and more specifically, the present invention relates to an adaptive peak-to-average power ratio suppression method, which belongs to the technical field of information transmission. Background technique [0002] In recent years, with the rapid development of wireless data services and user needs, spectrum resources have become increasingly tight, and efficient modulation methods have been continuously developed and applied, such as Orthogonal Frequency Division Multiplexing (OFDM) based on sine waves, ellipsoid-based Although the non-sinusoidal time-domain quadrature modulation method of the wave function (Prolate Spheroidal Wave Function, PSWF) can effectively solve the problem of frequency band utilization to a certain extent, since the efficient modulation method adopts the method of multi-channel parallel transmission, the modulation signal code The high peak value of the element, the...

AI Technical Summary

Problems solved by technology

Since then, based on μ-law compression, a series of PAPR suppression algorithms for OFDM modulated signals have been proposed, but there is a problem that it is difficult to reduce the peak value of the modulated signal while keeping the average power of the modulated signal before and after compression.

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