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Detection method for spatially modulated signals

A detection method and spatial modulation technology, applied in the direction of preventing/detecting errors through diversity reception, can solve problems such as reduced convergence performance, and achieve the effects of improved convergence and low computational complexity

Active Publication Date: 2018-01-30
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the number of particle types decreases rapidly and the convergence performance decreases as the number of iterations increases in the traditional particle swarm algorithm in the detection process of spatial modulation signals, and proposes a detection method for spatial modulation signals

Method used

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  • Detection method for spatially modulated signals
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  • Detection method for spatially modulated signals

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specific Embodiment approach 1

[0021] The detection method used for spatially modulated signals in this embodiment, the Particle Swarm Optimization algorithm (ParticleSwarm Optimization, PSO) was proposed by Dr. Eberhart, an American electrical engineer, and Dr. Kennedy, a social psychologist, from the predation behavior of birds in 1995. An evolutionary computing algorithm based on , shortly after it was published, it became the focus of researchers in related fields abroad. The PSO algorithm has the advantages of concise concept, easy implementation and fast convergence. In recent years, the particle swarm optimization algorithm has been widely used in many fields such as combinatorial optimization, intelligent computing and neural network.

[0022] Such as figure 1 As shown, the detection method is realized through the following steps:

[0023] Step 1. In the D-dimensional space, the potential solution of the transmitted signal to be detected is regarded as a particle, and all potential solutions form ...

specific Embodiment approach 2

[0029] The difference from Embodiment 1 is that, in the detection method for spatially modulated signals in this embodiment, the current particle velocity of each particle is updated as described in step 3 By formula: Learn from all particles in the population that are smaller than the fitness function value q of the current particle position to get the updated speed In the formula,

[0030] Indicates the gap between the global optimal position and the current particle position, c 1 is a randomly generated number between 0 and 4, preferably 2;

[0031] Indicates to learn from all particles in the population that are smaller than the fitness function value q of the current particle position according to different weights, c 2 It is a randomly generated number between 0 and 4, the preferred value is 2, and m represents the sequence number of the current particle; for example, the current particle i is particle No. 8, its sequence number is 3, and the sequence number of...

specific Embodiment approach 3

[0038] Different from the first or second specific embodiment, in the detection method for spatially modulated signals in this embodiment, the current particle velocity The degree of learning to all particles in the population that are smaller than the fitness function value q of the current particle position is determined by the weight function ω nd Decide.

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Abstract

The invention provides a detection method for a space modulation signal, and belongs to the field of antenna transmission. The traditional particle swarm optimization has problems that the particle species number is quickly reduced and the convergence performance is reduced along with the increasing of iteration times in a space modulation signal detection procedure. The detection method for the space modulation signal comprises the following steps: during each iteration, mapping the position of each particle to a space according to space modulation characteristics, calculating a fitness function value capable of reflecting good or bad performances of the particles; comparing the fitness function value of a current particle with a self optimal fitness function value of a history particle, wherein the minimum value is utilized as a newest global optimal value; updating positions and speeds of the particles by learning an optimal particle of a particle swarm and learning all the particles with the relatively good performances in the particle swarm; and after iteration calculation reaches the maximum time, outputting a global optimal position corresponding to a final global optimal value as a detection symbol, namely the detection symbol corresponding to a receiving symbol.

Description

technical field [0001] The invention relates to a detection method for space modulation signals. Background technique [0002] Spatial modulation is a new type of multi-antenna transmission technology. Different from traditional two-dimensional (real number domain, imaginary number domain) modulation technology, spatial modulation introduces the third dimension: the spatial dimension, which uses the serial number of the transmitting antenna as a new mapping resource. Through The mapping relationship between different input bits and antenna serial numbers is established to achieve the purpose of spatial modulation. In traditional multi-antenna technology, whether it is multiplexing or diversity, all symbol information is sent through all transmitting antennas, while in spatial modulation, some information is implicit in the selection of antennas and is not actually transmitted. The receiving end restores the serial number of the antenna that sends the information through a c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L1/06
CPCH04L1/06
Inventor 管春萌刘宁庆张文彬韩雪刘通
Owner HARBIN INST OF TECH
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