Interference noise matrix reconstitution-based self-adaptive wave beam forming method

Abstract

The invention relates to an interference noise matrix reconstitution-based self-adaptive wave beam forming method and belongs to the field of array signal processing. The method comprises the steps of firstly establishing the signal model of a minimum variance distortionless response wave beam forming problem, then under the condition that the angle range of an expected signal wave arrival direction is known, utilizing a multiple signal sorting spatial spectrum to reconstitute an interference noise covariance matrix in a region without containing expected signals, based on the matrix, solving the estimation value of a guide vector of the real expected signal by using the maximizing of an array output power and the constrain condition that the estimation value of the guide vector of the expected signal is prevented from being converged to the guide vector of any interference or the linear combination of the interference. According to the method, a simulation result shows that when random pointing errors and local scattering of the expected signal and a interference source exist, the output signal to interference plus noise power ratio in a very large input signal-to-noise ratio range is still close to a theoretical value and is superior to that of other self-adaptive wave bean forming methods.

Description

technical field [0001] The invention relates to a beamforming method in the field of array signal processing, in particular to an adaptive beamforming method based on interference noise matrix reconstruction. Background technique [0002] Beamforming is a key technology in array signal processing, widely used in wireless communication, radar, sonar, microphone voice array processing, radio astronomy, medical imaging and other fields. In many practical applications, the performance of beamforming drops sharply because the training data often contains the desired signal components, a small number of samples, and an imprecise steering vector of the desired signal. Therefore, improving the robustness of beamformers has always been a research hotspot in this field. [0003] In general, existing robust beamforming methods can be divided into two categories based on Minimum Variance Distortionless Response (MVDR) beamformers. The first category mainly uses various techniques to d...

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Problems solved by technology

[0005] In order to solve the problem that the signal-to-interference-noise ratio of the beam output decreases when the number of samples is small or there is an error in the steering vector of the desired signal and the training data contains the desired signal component in the adaptive beamforming, the present invention proposes a reconstruction interference A Robust Adaptive Beamforming Method for Noise Covariance Matrix and Estimation of Desired Signal Steering Vector

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