Table-lookup self-adapting peak-clipping method

Abstract

The invention discloses a table-lookup self-adapting peak-clipping method. In the peak-clipping process of a frequency-hopping communication system, the coefficient of a filter is adjusted in time ina self-adapting way, and a peak-clipping pulse is accurately constructed to carry out effective peak-clipping processing on an input signal. The method comprises two steps: in a preliminary step, dividing the total bandwidth difference of the system into a plurality of bandwidth area sections, constructing a corresponding filter for any one bandwidth area section, obtaining the coefficient of thefilter and storing a data table characterizing a one-to-one correspondence relationship between all the bandwidth area sections and the coefficient of the corresponding filter; in the peak-clipping step, working out the corresponding element of a corresponding index sequence according to the signal bandwidth of the current time when changing the bandwidth of the system, and then further determining the coefficient of the corresponding filter according to the element. The invention can search a prestored data table according to the carrier wave frequency point change of the system, obtain the coefficient of the filter with proper matching with a current signal and adjust the filter used for constructing the peak-clipping pulse in the self-adapting way, thereby lowering the complexity degreeof the system and ensuring that the peak-clipping effect is better.

Description

technical field [0001] The invention relates to a table look-up adaptive peak-shaving method applied in frequency-hopping communication systems such as GSM and EDGE. Background technique [0002] In the current mainstream mobile communication systems, GSM and EDGE are typical representatives of multi-carrier frequency hopping communication systems. [0003] Compared with the single-carrier system, the multi-carrier system has a higher peak-to-average power ratio (PAPR) due to the superposition of multiple carrier signals in the time domain. In order to transmit these high-to-average power ratio signals without distortion, some components (such as power amplifiers) have high linearity requirements. If the signal variation range exceeds the linear range of the device, obvious in-band distortion and out-of-band radiation will occur , resulting in an increase in the bit error rate. Therefore, the signal peak-to-average power ratio has a direct impact on the performance of the ...

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Problems solved by technology

[0023] Furthermore, if only the real-time adjustment of the adaptive adjustment filter coefficients is considered, the filter coefficients need to be recalculated for adaptive adjustment every time the frequency point changes, which will lead to a large amount of additional complexity in the system. Therefore, it is necessary to combine the system Comprehensive consideration of complexity

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