Anti-interference method based on intelligent antenna and neural network algorithm

Abstract

The invention discloses an anti-interference method based on an intelligent antenna and a neural network algorithm. According to the method, a back frame structure of the antenna is used as a model; based on an artificial neural network, an intelligent antenna structure deformation estimator and a shape controller are designed; an improved error algorithm is adopted, so that the characteristics of high convergence rate and small calculation amount are realized; and a relatively high anti-interference characteristic is achieved. A typical applicable type is adopted by the conventional artificial neural network topology structure; the intelligent antenna is combined, and a bipolar intelligent antenna is used, so that the convenience in actual operation is achieved; the capacity of the 8-unit bipolar intelligent antenna can be met; the coverage aspect is within a normal cell coverage range; and obvious coverage loss does not exist. The transverse size of the bipolar intelligent antenna is reduced by over 50 percent compared with the conventional single-polar intelligent antenna and has obvious advantages of reducing the windward area, reducing the engineering mounting difficulty and reducing the electromagnetic radiation panic of common users.

Description

technical field [0001] The invention relates to the field of wireless resource management and the field of neural network, and is an anti-jamming method based on a smart antenna and a neural network algorithm. Background technique [0002] TD-SCDMA adopts the combination of Time Division Duplex (TDD) Code Division Multiple Access (CDMA) and Time Division Multiple Access (TDMA) technology, which makes the system interference model very different from that of Frequency Division Duplex (FDD) system. TD-SCDMA The standard adopts advanced technologies such as uplink synchronization and smart antenna multi-user detection to effectively suppress the interference in the system cell. [0003] The function of the smart antenna is mainly manifested in that it can adaptively judge the signal direction and quantity, and track the desired signal, and then perform beamforming through the downlink, which will generate the maximum gain in the direction of the desired signal and minimize the ...

AI Technical Summary

Problems solved by technology

[0004] The existing smart antenna anti-jamming algorithm generally has a large amount of calculation and slow convergence speed. It is difficult to achieve effective signal tracking in an environment that requires high-speed real-time processing. Moreover, it generally cannot handle the situation when the number of signal sources is more than the number of antenna array elements.

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