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Robust multiuser detector design method

A design method and multi-user technology, applied in the field of multi-user detection, can solve the problem of high bit error rate in communication systems

Active Publication Date: 2019-01-04
GUILIN UNIV OF ELECTRONIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is the technical problem that the existing multi-user detector has a large bit error rate in the communication system under the actual impact wireless channel communication environment

Method used

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Embodiment 1

[0097] This embodiment provides a robust multi-user detector design method, such as figure 1 , The method includes:

[0098] Step 1. Initialize the relevant parameters of the algorithm, set the crossover probability and the mean parameter of the mutation factor, the population size and the maximum number of iterations;

[0099] Step 2. Use the opposite learning method to initialize the parent population and determine the three wolves in the parent population. The three wolves including the best fitness solution are named α wolf, the second best solution is named β wolf, and the third best solution is named δ Wolf;

[0100] Step 3: Use the improved gray wolf algorithm position update equation to update the parent population, and sort the population individuals according to the fitness value from large to small;

[0101] Step 4. Use the parent population to generate offspring crossover variants. When the offspring variant has a better fitness value than the parent population, the evolu...

example 1

[0130] To prove that the initialization parameter settings of the algorithm used in this embodiment have little effect on the bit error rate, it is assumed that when the signal power of all users is equal, the number of users is 10, the data signal transmission length is 10000bit, and the generalized signal-to-noise ratio is 5db, iterative When the number of times is 5, the hybrid gray wolf optimization algorithm is used for multi-user detection. The relationship between the setting of initialization parameters and the bit error rate is as follows: figure 2 with image 3 Shown. The simulation experiment results show that since the initialization parameters of the algorithm used in this embodiment can be adjusted adaptively, the four parameters involved in the algorithm have little effect on the bit error rate. It can be seen from the figure that the fluctuation range of the bit error rate is only It is 0.015% to 0.02%.

example 2

[0132] In order to verify the superiority of the method designed in this embodiment over the traditional method, a simulation example will verify the performance of the hybrid gray wolf optimization algorithm (HGWO) adopted in this embodiment from multiple algorithm simulation conditions. Suppose that when the signal power of all users is equal, the number of users is 10, the data signal transmission length is 10000bit, and the generalized signal-to-noise ratio is 5db, Figure 4 The relationship between the number of algorithm iterations and the correct rate of the estimated bit information is given.

[0133] From Figure 4 It can be seen that the algorithm adopted in this embodiment has a very fast convergence speed, and the algorithm starts to converge when the number of iterations is 5, and the bit error rate is also low. Using traditional genetic algorithm, differential evolution algorithm, and single gray wolf optimization algorithm, the algorithm converges only after about 2...

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Abstract

The invention relates to a robust multiuser detector design method, which solves the technical problem of high error rate of the traditional robust multiuser detector in an impact noise channel environment. The robust multiuser detector design method comprises the steps of: initializing algorithm parameters; using an opposition-based learning method to initialize a parent population, and determining three wolves in the parent population; updating the parent population by adopting an improved gray wolf algorithm position updating equation, and sorting population individuals according to fitnessvalues from large to small; generating offspring crossover mutants by utilizing the parent population, performing position information differential operation on an evolutionary direction of the offspring crossover mutants and successful crossover mutation probabilistic information when the fitness values of the offspring crossover mutants are superior to that of the parent population, acquiring new evolutionary direction information and saving the new evolutionary direction information, and updating positions of the three wolves. With the adoption of the robust multiuser detector design method adopting a Huber theory and utilizing a residual non-rapid-increasing function to design a multi-user detector in an impact noise channel, the mentioned problem is effectively solved, and the robustmultiuser detector design method can be used in multi-user detector design.

Description

Technical field [0001] The invention relates to the field of multi-user detection in the field of spread spectrum communication signal processing, and in particular to a robust multi-user detector design method. Background technique [0002] Code Division Multiple Access (CDMA) is a common communication standard in the field of spread spectrum communication and is widely used in many fields such as satellite navigation and mobile communication. However, the CDMA system has the problems of multiple access interference and near-far effects, both of which are the main factors affecting the communication capacity and performance of CDMA. The idea of ​​multi-user detection (MUD) is put forward, which effectively suppresses the adverse effects of the two on the system. The multi-user detection problem of the CDMA system can be regarded as a group optimization problem of NP combination. The purpose of multi-user detection is mainly to achieve the extraction of target user data informat...

Claims

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Application Information

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IPC IPC(8): H04B1/7105G06N3/00
CPCG06N3/006H04B1/7105
Inventor 纪元法范灼孙希延符强王守华严素清付文涛
Owner GUILIN UNIV OF ELECTRONIC TECH
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