Single signal arrival angle estimating method based on large-scale multi-antenna system
A multi-antenna system, angle of arrival technology, applied in directions such as direction finders using radio waves, can solve problems such as a large number of sampling samples, reduced estimation accuracy, and inapplicability to large-scale multi-antenna systems, to improve spectrum utilization, reduce The effect of pilot overhead
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Embodiment 1
[0030] figure 2 Shown is a schematic diagram of a linear antenna array model in Embodiment 1 of the present invention, and the single signal angle of arrival estimation method based on a large-scale multi-antenna system of the present invention is used in a large-scale multi-antenna system in which the receiving antenna array is a linear antenna array, specifically Include the following steps:
[0031] Step 1 In the linear antenna array of the embodiment of the present invention, a single angle of arrival is 60 degrees, and the receiving antenna array is a linear array composed of 16 antennas. According to the characteristics of the unitary matrix, the estimated value of the channel matrix in the time domain can be obtained by simple matrix multiplication in For the conjugate transposition of the transmitted signal matrix X, Y=HX+N is the received signal matrix;
[0032] Step 2 The prediction matrix itself does not have the sparse characteristic, so construct the sparse ...
Embodiment 2
[0037] Figure 4 Shown is a schematic diagram of a planar antenna array model in Embodiment 2 of the present invention. The difference between Embodiment 2 and Embodiment 1 is that this embodiment uses the method for estimating the angle of arrival of a single signal based on a large-scale multi-antenna system in the present invention. In a large-scale multi-antenna system where the receiving antenna is a planar antenna array, the following steps are specifically included:
[0038] Step 1 In the planar antenna array of the embodiment of the present invention, 16 receiving antennas are distributed as a 4×4 planar array, and the channel matrix is estimated
[0039] Step 2 The prediction matrix itself does not have the sparse characteristic, so construct the sparse transformation matrix Φ according to the correlation between the receiving antennas in the large-scale multi-antenna system, and perform sparse transformation on the prediction matrix A sparse matrix G with a spa...
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