Two-dimensional wave arrival direction estimation method and device

Abstract

The invention discloses a two-dimensional wave arrival direction estimation method. The method comprises the steps that after a target signal is received, an array manifold corresponding to a signal subspace is constructed according to a target antenna array and a target signal, a cross-covariance matrix and a propagation operator are generated on the basis of the array manifold, and a first angleparameter is estimated through an ESPRIT algorithm, the cross-covariance matrix and the propagation operator; meanwhile, a noise projection matrix corresponding to a noise subspace is constructed, and a relational expression of the first angle parameter and a second angle parameter is generated on the basis of the noise projection matrix and the array manifold; the second angle parameter is estimated according to the first angle parameter and the relational expression, and then the wave arrival direction is estimated. Therefore, according to the method, the second angle parameter is estimatedon the basis of the first angle parameter, and matching of two-dimensional angle parameters is avoided, so that the calculation complexity is reduced, and meanwhile good universality is achieved. Accordingly, the invention discloses a two-dimensional wave arrival direction estimation device which also has the technical effects.

Description

technical field [0001] The present invention relates to the technical field of signal processing, and more specifically, to a method and device for estimating a two-dimensional direction of arrival. Background technique [0002] With the sharp increase in the demand for social information exchange and the rapid popularization of personal mobile communications, signal receiving technology is facing a huge challenge. [0003] In order to adapt to the order of magnitude improvement of spectral efficiency and energy efficiency, massive MIMO technology has been widely used as an extension and extension technology of MIMO technology. Its basic feature is to configure a large-scale antenna array (the number of antennas included ranges from dozens to thousands) on the base station side, which significantly improves spectrum efficiency and energy efficiency. In addition, in a massive MIMO system, using a simple linear precoding and detection method, the impact of noise and fast fadi...

AI Technical Summary

Problems solved by technology

However, since the angle parameters of the two dimensions are obtained by separate ESPRIT steps, the algorithm requires further two-dimensional angle parameter matching, and the matching calculation is relatively large, which increases the computational complexity to a certain extent; and, Under low signal-to-noise ratio, the estimation performance of the 2P-PM algorithm is greatly reduced. At the same time, the algorithm requires that the number of sources is less than the number of antennas in a certain dimension, which greatly limits the application of the algorithm.

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