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Peak reduction tone (PRT) position search method based on particle swarm optimization algorithm

A particle swarm optimization and search method technology, applied in the field of PRT position search, can solve problems such as poor performance and high computational complexity

Inactive Publication Date: 2012-07-04
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Existing PRT set selection methods such as equidistant PRT sets, continuous PRT sets, and random PRT set methods perform poorly compared to optimal PRT sets or require high computational complexity

Method used

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  • Peak reduction tone (PRT) position search method based on particle swarm optimization algorithm
  • Peak reduction tone (PRT) position search method based on particle swarm optimization algorithm
  • Peak reduction tone (PRT) position search method based on particle swarm optimization algorithm

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Embodiment Construction

[0038] Below in conjunction with simulation example the embodiment of the present invention is described in detail: present embodiment is implemented on the premise of the technical scheme of the present invention, has provided detailed implementation mode and concrete operation process, but protection scope of the present invention is not limited to following Example.

[0039] This embodiment details how to use the particle swarm optimization algorithm to search for the suboptimal PRT set position.

[0040] The basic idea of ​​the PSO algorithm is to use individual information, individual optimal and global optimal information to correct the position and velocity of the next generation of particles. In the PSO-based PRT position search method proposed by the present invention, the equation

[0041] y ik j = 1 , rand ...

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Abstract

The invention discloses a peak reduction tone (PRT) position search method based on a particle swarm optimization algorithm, and the method comprises the following steps of: step 1. generating a random population with a random initial speed; step 2. updating the speed and position of particle swarm; step 3. comparing the secondary peak values of the new population and the original population, judging, updating, carrying out the step 2 and the step 3 repeatedly until the circulation reaches the maximum recursion, outputting the secondary peak value corresponding to a PRT set, and finishing. The PRT position search method based on the particle swarm optimization algorithm can be used for selecting and optimizing the PRT set by utilizing the related knowledge of genetics, thus solving the problem of high complexity in the background technology.

Description

technical field [0001] The present invention relates to the field of wireless communication, specifically a PRT (Peak Reduction Tone, peak reduction carrier) position search method based on particle swarm optimization algorithm, which is used for OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing) system PAPR (Peak-to-Average Power Ratio, peak-to-average power ratio) is reduced. Background technique [0002] In recent years, due to the rapid development of digital signal processing technology and computer technology, the demand for fast and reliable transmission of multimedia information over wired or wireless channels has increased significantly. The high-speed communication system not only needs to efficiently use the limited bandwidth to maintain a high-speed information transmission rate, but also must be able to resist the influence of adverse factors such as coherent channel interference, impulse noise, and frequency selective ...

Claims

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Application Information

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IPC IPC(8): H04L27/26
Inventor 王亚军陈文宋沈煜
Owner SHANGHAI JIAO TONG UNIV