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PTS peak-to-average ratio suppression method based on space optimization and data processing system

A peak-to-average ratio suppression and space technology, applied in digital transmission systems, modulated carrier systems, transmission systems, etc., can solve the problems of inability to take into account peak-to-average ratio suppression and complexity reduction at the same time.

Active Publication Date: 2021-06-15
COMMUNICATION UNIVERSITY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the above analysis, the embodiment of the present invention aims to provide a PTS peak-to-average ratio suppression method based on space optimization, to solve the problem that the existing technology cannot take into account the peak Average Ratio Suppression and Complexity Reduction Problems

Method used

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  • PTS peak-to-average ratio suppression method based on space optimization and data processing system
  • PTS peak-to-average ratio suppression method based on space optimization and data processing system
  • PTS peak-to-average ratio suppression method based on space optimization and data processing system

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Embodiment 1

[0078] A specific embodiment of the present invention discloses a PTS peak-to-average ratio suppression method based on space preference, such as figure 1 shown, including the following steps:

[0079] S1. Perform frequency domain conversion on the input M-QAM signal to generate an OFDM frequency domain signal, and perform signal segmentation on the OFDM frequency domain signal;

[0080] S2. Input each of the divided OFDM frequency domain sub-signals into a preset frequency domain scrambling model in sequence, and obtain frequency domain discrete signals after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signal;

[0081] S3. Input the frequency-domain discrete signals of each of the above-mentioned PTS multiplicative scrambled signals into the preset Spacing evaluation model to obtain the corresponding signal dispersion estimated value, arrange the estimated values ​​from small to large, and identify the top m in the arrangement The discre...

Embodiment 2

[0085] Optimizing on the basis of Embodiment 1, step S1 is further refined as:

[0086] S11. Perform OFDM frequency-domain framing on the input M-QAM signal, and obtain the subcarriers corresponding to the modulation segments of each frame; the time intervals corresponding to the modulation segments of each frame are the same;

[0087] S12. According to all the subcarriers obtained above, establish the OFDM frequency domain signal X corresponding to the M-QAM signal

[0088] X=[X 1 ,...,X N ] (1)

[0089] In the formula, X i For the i-th subcarrier of the OFDM frequency domain signal, N represents the number of subcarriers of the OFDM frequency domain signal;

[0090] S13. Carry out frequency-domain segmentation to the OFDM frequency-domain signal by a random segmentation method, and be divided into sub-blocks that are mutually disjoint, and all sub-blocks are equal in size (that is, the number of subcarriers included is equal), and are orthogonal to each other (different ...

Embodiment 3

[0132] The present invention also provides a kind of data processing system corresponding to embodiment 1, 2 method, such as image 3 As shown, it includes a preprocessing module, a data processing module, and a signal generating module connected in sequence.

[0133] The preprocessing module is used to perform frequency domain conversion on the input M-QAM signal to generate an OFDM frequency domain signal; and perform signal segmentation on the OFDM frequency domain signal to generate OFDM frequency domain sub-signals and transmit them to the data processing module.

[0134] A data processing module, configured to sequentially input each received OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain multiple PTS multiplicatively scrambled frequency domain discrete signals corresponding to the OFDM frequency domain signal and, input the frequency-domain discrete signals of each of the above-mentioned PTS multiplicative scrambled signals in...

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Abstract

The invention relates to a PTS peak-to-average ratio suppression method based on space optimization, belongs to the technical field of wireless communication power amplifier efficiency optimization, and solves the problem that peak-to-average ratio suppression and complexity reduction cannot be considered at the same time in the prior art. The method comprises the following steps: performing frequency domain conversion on an input M-QAM signal to generate an OFDM frequency domain signal, and performing signal segmentation on the OFDM frequency domain signal; sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a plurality of PTS multiplicative scrambled frequency domain discrete signals corresponding to the OFDM frequency domain signal; respectively inputting the frequency domain discrete signals after each PTS multiplicative scrambling into a preset Spacing evaluation model to obtain corresponding signal dispersion estimated values, arranging the estimated values from small to large, and identifying the frequency domain discrete signals corresponding to the first m estimated values; and respectively carrying out time domain PAPR evaluation on each frequency domain discrete signal obtained by identification, and obtaining a time domain transmission signal after final peak-to-average power ratio suppression based on the frequency domain discrete signal corresponding to the minimum evaluation result.

Description

technical field [0001] The invention relates to the technical field of efficiency optimization of wireless communication power amplifiers, in particular to a PTS peak-to-average ratio suppression method based on space optimization and a data processing system. Background technique [0002] Multicarrier modulation is crucial to the realization of UWB systems. The problem of energy consumption in analog modulation becomes more prominent when the transmission bandwidth reaches its limit. Power amplifiers will dominate the energy consumption of base stations in any type of wireless communication, and the peak-to-average ratio (PAPR) problem will become more prominent in future communication systems. Relying on frequency bands such as millimeter wave and terahertz, the demand for ultra-broadband can be realized, and at the same time, it is also facing ultra- The defect of insufficient energy conversion rate of high-frequency power amplifier. [0003] Considering the low hardwar...

Claims

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Application Information

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IPC IPC(8): H04L27/26
CPCH04L27/2614
Inventor 胡峰
Owner COMMUNICATION UNIVERSITY OF CHINA
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