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A Particle Swarm Based Adaptive Beamforming Interference Suppression Method

An adaptive beam, interference suppression technology, applied in baseband systems, baseband system components, shaping networks in transmitters/receivers, etc., can solve problems such as slow convergence speed

Active Publication Date: 2020-07-31
览思(宁波)智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: aiming at the shortcomings of the existing beamforming algorithm such as slow convergence speed and easy to fall into local optimum, by improving the particle swarm optimization algorithm, a particle swarm optimization based on PartitionParticles Swarm Optimization (PPSO) is provided. Adaptive Beamforming Interference Suppression Method

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  • A Particle Swarm Based Adaptive Beamforming Interference Suppression Method
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  • A Particle Swarm Based Adaptive Beamforming Interference Suppression Method

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Embodiment Construction

[0065] The following uses a specific example of three-antenna adaptive beamforming interference suppression to illustrate the implementation of the present invention. figure 1 It is an overall flowchart of the present invention, and the whole flow process can be divided into four major steps:

[0066] In the first step, an adaptive beamforming model of a uniformly distributed line array with three array elements is constructed;

[0067] figure 2 is an adaptive beamforming spatial filtering model diagram, where ADC represents an analog-to-digital converter (AnalogDigital Converter);

[0068] For the convenience of expression, let the three antenna arrays at time n receive the original input signal X 3 (n)=[X 0 (n),X 1 (n),X 2 (n)] T , S(n) is the reference signal, E(n) is the error signal, W 3 (n)=[W 0 (n),W 1 (n),W 2 (n)] T is the weight vector, Y(n) is the output signal, and all the above parameters are complex numbers;

[0069] In the second step, the solution s...

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Abstract

The invention discloses a self-adaptive beam forming interference suppression method based on a particle swarm. The technical scheme comprises the following steps: dividing a solution space into multiple sub-phase spaces on the basis of a classic particle swarm method, and then searching an optimal value in a corresponding phase space in each sub-phase space by use of the particle swarm method; and finally picking out the optimal value of the whole phase space from all sub-phase space optimal values. By use of the self-adaptive beam forming interference suppression method based on the particle swarm disclosed by the invention, the disadvantage that the existing beam forming algorithm is easy to run into the local optimal value can be avoided, and the convergence rate can be faster.

Description

technical field [0001] The invention relates to the field of real-time processing of wireless communication signals, in particular to an adaptive beamforming interference suppression method, in particular to a particle swarm-based adaptive beamforming interference suppression method. Background technique [0002] The classical filtering method based on the frequency domain cannot deal with the situation that the frequency of the interference signal is close to the frequency of the desired signal, which is undoubtedly a serious defect for wireless communication interference suppression. Adaptive beamforming technology, as a spatial filter, can suppress interference signals and noise signals while increasing the desired signal gain, and improve the signal-to-interference-noise ratio, so it has been more and more widely used in the field of real-time processing of many wireless communication signals. . [0003] The least mean square algorithm (Least Mean Square, LMS) is a clas...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/06H04L25/03
CPCH04B7/0617H04L25/03057
Inventor 余莉韩方剑黄少冰
Owner 览思(宁波)智能科技有限公司