Adaptive beamforming method based on uniform linear array null deepening

Abstract

The invention proposes an adaptive beamforming method based on uniform linear array null deepening, which mainly solves the problem that the depth of antenna pattern null cannot suppress interferencecompletely due to fluctuations of the interference power in the prior art. The adaptive beamforming method comprises the implementation steps of: 1, acquiring relevant parameters of a uniform antennaarray and relevant parameters of an incoming wave signal; 2, utilizing antenna array receiving data to calculate an autocorrelation matrix of the antenna array receiving data; 3, utilizing the relevant parameters of the antenna array to calculate a direction vector of a desired signal and a steering vector matrix; 4, utilizing matrix singular value decomposition to decompose the autocorrelation matrix, and constructing a new interference subspace; 5, and utilizing a new interference subspace matrix and the direction vector of the desired signal to calculate an adaptive beamforming optional weight coefficient after null deepening. The adaptive beamforming method deepens the null of an interference signal, improves the anti-interference performance, and can be applied to a signal processingsystem.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to an adaptive beam forming method, which can be used in a signal anti-interference processing system. Background technique [0002] In the field of communication and radar, adaptive antenna is one of the most important components. The adaptive antenna can automatically align the maximum radiation direction of the antenna with the incoming wave direction of the required signal, and align the lobe null of the antenna pattern with the interference direction. An effective measure, which consists of an antenna array and an adaptive processing system, so it is also called an adaptive array. [0003] The core of the adaptive processing system is adaptive beamforming. Adaptive beamforming refers to adjusting the weight vector adaptively in real time according to a certain beamforming criterion and algorithm, so that after the received signals of each array element ar...

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Problems solved by technology

[0007] The maximum signal-to-interference-noise ratio SINR criterion maximizes the ratio of useful signal power to interference signal and noise power. This criterion can obtain the maximum signal-to-noise ratio, but the statistical characteristics of the noise and the direction of arrival of the desired signal must be known.

[0008] The above criteria are widely used in adaptive beamforming, but when the interference power fluctuates, the null depth of adaptive beamforming is not enough to completely suppress the interference, so that the output signal of the beamformer still contains interference components, and the anti-interference performance drops sharply

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