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A Peak-to-Average Ratio Suppression Method of ofdm System Based on Differential Evolution Algorithm

A differential evolution algorithm and peak-to-average ratio suppression technology, applied in the field of communication transmission, can solve problems such as high time complexity, and achieve the effect of low hardware overhead and low time complexity

Inactive Publication Date: 2019-02-26
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

[0028] Aiming at the deficiencies in the prior art, the present invention provides a method for suppressing peak-to-average ratio of OFDM systems based on a differential evolution algorithm, in order to solve the problem that the time complexity of the system is too high, specifically as follows:

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  • A Peak-to-Average Ratio Suppression Method of ofdm System Based on Differential Evolution Algorithm
  • A Peak-to-Average Ratio Suppression Method of ofdm System Based on Differential Evolution Algorithm
  • A Peak-to-Average Ratio Suppression Method of ofdm System Based on Differential Evolution Algorithm

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[0105] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and examples.

[0106] A peak-to-average ratio suppression method for OFDM systems based on differential evolution algorithm (DEPR),

[0107] S1. Randomly generate the initial population

[0108] The population of DEPR algorithm is N-dimensional noise vector, and the initial noise vector is randomly generated from the whole noise space.

[0109] First you need to define the N-dimensional noise vector e(n)

[0110] e(n)=x(n)-x'(n),

[0111] e(n) is the offset introduced by various methods during the filtering process. Noise can serve the same purpose, but effectively reduces the search space of the signal compared to the original signal. x(n) is the original time-domain signal, and x'(n) is the filtered signal.

[0112] X'(K)=DFT[x'(n)]

[0113] =DFT(x(n)-e(n)) L...

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Abstract

The invention discloses an orthogonal frequency division multiplexing (OFDM) system peak-to-average power ratio (PAPR) suppression method based on differential evolution, and belongs to the field of communication transmission. The method comprises the following steps: modeling a repeated clipping and filtering process into an optimization problem; under a constraint condition meeting the PAPR and an error vector magnitude (EVM), obtaining a local optimal solution of a system through the differential evolution; and finding an output signal of which the PAPR and the EVM satisfy system conditions at the same time and the time complexity is lowest. In consideration of actual application demands of an actual system, a global optimal solution does not need to be solved through a convex optimization method, namely, a minimum PAPR or a minimum EVM does not need to be solved, and only the system demands need to the met. On the basis of ensuring low time complexity and hardware overhead, the aim is to find a feasible solution, namely, the local optimal solution. Specifically, the aim is to find a PAPR value which meets system requirements within the shortest time, and meet the constraint of the EVM, namely, ensure that a bit error rate of the system is within a specified threshold.

Description

technical field [0001] The invention belongs to the field of communication transmission, and in particular relates to a method for suppressing the peak-to-average ratio of an OFDM system based on a differential evolution algorithm. Background technique [0002] Acronyms and key term definitions [0003] Peak-to-average ratio: Peak-to-average power ratio (PAPR) [0004] Orthogonal Frequency Division Multiplexing: Orthogonal Frequency Division Multiplexing (OFDM) [0005] Error vector magnitude: Error vector magnitude(EVM) [0006] Differential evolution algorithm: Differential evolution (DE) [0007] Bit error rate: Bit error rate (BER) [0008] Optimized iterative clipping and filtering: Optimized clipping and filtering (OICF) [0009] Quadrature amplitude modulation: Quadrature amplitude modulation (QAM) [0010] Quadrature phase-shift keying: Quadrature phase-shift keying (QPSK) [0011] Complementary cumulative distribution function: Complementary cumulative distri...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/26
CPCH04L27/2614H04L27/2623
Inventor 汪敏肖斌胡泽谌海云蒋林
Owner SOUTHWEST PETROLEUM UNIV
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