Self-adaptive beam forming method and self-adaptive beam forming device

Abstract

The invention discloses a method for a self-adaptive beam forming weight, which comprises the following steps that: after multipath sampling signals are received, the spatial covariance matrix estimation and the signal-to-noise ratio of the multipath sampling signals are acquired according to the multipath sampling signals; the amount of diagonal loading is acquired according to the signal-to-noise ratio, and the diagonal loading is performed on the spatial covariance matrix estimation according to the amount of diagonal loading; a training sequence is modulated to acquire an expected signal, and the multipath sampling signals and the expected signal are subjected to correlation operation to acquire a correlation vector; and the self-adaptive beam forming weight is generated according tothe spatial covariance matrix estimation after the diagonal loading and the correlation vector, and the multipath sampling signals are subjected to weighted sum to output a self-adaptive beam signal according to the self-adaptive beam forming weight. The invention also correspondingly provides a self-adaptive beam forming device. Thus the method and the device can reduce the calculation amount during the formation of self-adaptive beams, improve the robustness of beam formation, and have simple realization.

Description

technical field [0001] The present invention relates to the field of mobile communication, in particular to an adaptive beam forming method and device. Background technique [0002] In recent years, with the rapid growth of the number of wireless communication users, the anti-jamming problem of communication systems such as GSM (Global System for Mobile communication, Global System for Mobile Communications) has received more and more attention. [0003] Smart antenna technology can use the different spatial propagation characteristics of signals and interference to perform spatial filtering, enhance signals and suppress interference. The smart antenna technology uses multiple antennas separated in space to form an antenna array, and the received signals of each array element are summed appropriately to achieve directional reception. The essence of the weighted summation is to adjust the amplitude and phase of each signal, so that the coherent superposition of the desired s...

AI Technical Summary

Problems solved by technology

This technology has the following defects: large amount of calculation, complex implementation and poor robustness

This method can avoid the inversion of the singular matrix and improve the robustness of adaptive beamforming by diagonal loading, but this method needs to estimate the condition number of the spatial covariance matrix, which increases the amount of calculation, and uses the noise power for diagonal loading When , if the SINR is high, the diagonal loading used is small, and the beamforming is not robust

[0006] In summary, the existing adaptive beamforming technical solutions obviously have inconveniences and defects in actual use, so it is necessary to improve them

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