Signal crest trimming method and equipment

Abstract

The invention discloses a signal crest trimming method, which comprises the following steps of: computing the amplitude and phase of an input signal x(t), and if the amplitude, which is represented as the absolute value of x(t), of the input signal x(t) exceeds a threshold, subtracting the threshold from the signal to obtain a noise signal; performing molding filtration on the noise signal to obtain a same-frequency spectrum noise signal; and subtracting the same-frequency spectrum noise signal from the input signal x(t) of which the amplitude exceeds the threshold, and outputting the crest-trimmed signal. The technical scheme of the invention has the advantages of simplicity, high efficiency, relatively lower hardware equipment resource consumption in particular realization, short processing time delay, and the capacity of effectively performing crest trimming on randomly appearing signal peaks exceeding the threshold so as to reduce the peak-to-average power ratio of the signal.

Description

technical field [0001] The present invention relates to the field of mobile communication, in particular, the present invention relates to a method and equipment for removing signal peaks. Background technique [0002] In a mobile communication system, in order to transmit wireless signals without distortion, the linearity of the transmitting end is highly required. When the peak-to-average power ratio (PAPR) of the signal transmitted by the system is too large, the excessively large Power will cause a lot of waste. Secondly, too large peak-to-average ratio will make the performance of the system deteriorate sharply. Too large peak-to-average ratio will directly affect the operating cost and efficiency of the entire system. Therefore, it is necessary to find a way to reduce the peak-to-average power ratio. In addition, when the signal is composed of multiple subcarriers, if the peak-to-average ratio of the subcarriers is too high, it will cause nonlinear distortion of the si...

AI Technical Summary

Problems solved by technology

[0011] Therefore, for the cyclic clipping algorithm, its disadvantage is that when using RPGA to implement such as figure 1 The clipping filter shown in the figure will consume a large number of logic units, and at the same time need to go through 0 insertion, FFT, IFFT transformation, etc., the processing delay is too large, and the existing mobile communication system cannot accept too large processing delay

[0012] Therefore, it is necessary to propose an efficient and simple signal peak removal scheme to solve the problem of relatively large peak-average transmission signals

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