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Wave beam forming method based on New-Memetic algorithm

A technology of beamforming and algorithm, applied in the field of beamforming, can solve the problems of low efficiency, slow convergence speed, low efficiency, slow convergence speed, etc., achieve the effect of small calculation, overcome slow convergence speed, and improve signal-to-noise ratio

Inactive Publication Date: 2010-02-17
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The present invention aims at the defect that the convergence speed of the smart antenna beamforming method in the prior art is not fast and the efficiency is not high, and proposes a beamforming method suitable for uplink MIMO-SDMA (Multiple Input Multiple Output - Space Division Multiple Access) communication system, in Memetic Based on the (hybrid genetic) algorithm, the crossover and mutation process is improved, which can improve the convergence speed and local search ability of the algorithm, and solve the problem of slow convergence speed and low efficiency of the existing beamforming method

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  • Wave beam forming method based on New-Memetic algorithm
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  • Wave beam forming method based on New-Memetic algorithm

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Embodiment Construction

[0015] In the beamforming of the antenna array of the uplink MIMO-SDMA system, the present invention uses the method of optimizing the weight vector of the uplink antenna radiation pattern to realize the beamforming for the channel model of the MIMO-SDMA system, so that the power of the expected output signal increases monotonously and the interference The output signal power of the noise decreases monotonously, which improves the signal-to-interference-noise ratio of the system.

[0016] According to the element spacing d in the antenna array, the angle θ between the incident direction of the user signal and the antenna element m The phase excitation of the array element in the antenna array is obtained, and the excitation vector of the array element including the amplitude excitation and the phase excitation of the array element is determined, thereby obtaining the array excitation of the antenna array.

[0017] The system model of the uplink MIMO-SDMA uniform linear array s...

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Abstract

The invention discloses a wave beam forming method of ascending MIMO-SDMA, which relates to the field of wireless communication. The invention provides a wave beam forming method based on a New-Memetic algorithm. Aiming at the defect of the traditional wave beam forming method for working out an optimal weight value based on a gradient method (such as a minimum mean square error algorithm and a linear constraint minimum variance algorithm), the method improves the processes of intersection and variation on the basis of the Memetic algorithm (a mixed inheritance algorithm), thereby enhancing the convergence speed and the local searching capability of the algorithm. The method can search the weight vector optimal value of an antenna array, carry out the self-adapting zero control of an interference direction, also enable a maximum gain main lobe to be directed at the direction of a desired signal and enhance the signal-noise ratio of the system.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a beamforming method. Background technique [0002] The core of smart antenna technology research is the beamforming method. In uplink MIMO-SDMA (Multiple-Input Multiple-Output-Space Division Multiple Access), there will be many user signals sharing the same channel at the same time, so multiple access interference and multiple access interference between signals will occur. path interference. Through the beamforming method, the spatial characteristics of different user signals can be used to complete signal separation and avoid interference between signals. MIMO-SDMA can be realized by optimizing the weight vector of uplink antenna radiation pattern, and it is suitable for practical wireless mobile communication systems. [0003] The two traditional beamforming methods are the minimum mean square error algorithm (MMSE) and the linear constrained minimum ...

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Application Information

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IPC IPC(8): H04W52/42H04B7/06
Inventor 李方伟张海波孙逊张鑫
Owner CHONGQING UNIV OF POSTS & TELECOMM
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