Quick estimation method for two-dimensional direction of arrival of millimeter wave large-scale multiple input multiple output system

A large-scale, multi-input technology, used in radio wave direction/bias determination systems, direction finders using radio waves, etc., can solve problems such as low computational efficiency, unsuitable for massive MIMO systems, etc. Position Error Insensitive Effects

Pending Publication Date: 2022-02-08
CHINA THREE GORGES UNIV
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Moreover, it is computationally inefficient due to the need for sp

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  • Quick estimation method for two-dimensional direction of arrival of millimeter wave large-scale multiple input multiple output system
  • Quick estimation method for two-dimensional direction of arrival of millimeter wave large-scale multiple input multiple output system
  • Quick estimation method for two-dimensional direction of arrival of millimeter wave large-scale multiple input multiple output system

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[0126] To verify the effectiveness of the proposed framework, a Monte Carlo method is employed to evaluate the estimation performance. Here, it is assumed that the MIMO base station consists of a URA with M rows and M columns, and each sensor is a co-located EMVS. Suppose K=3 far-field source signals, and their parameters are θ=(10°, 50°, 30°), φ=(-20°, 25°, 55°), γ=(10°, 30°, 60°), η=(20°, 40°, 55°). Also, assume that L samples have been collected. The results of each plot of the simulation depend on 200 independent trials. In the simulation, the signal-to-noise ratio (SNR) is defined as SNR=10lg(||Y-N|| 2 / ||N|| 2 ). Performance evaluation uses two methods: root mean square error (RMSE) and average running time. In the framework of the present invention, the compression factor α is defined as, N 1 =round(αM 2 ), D is a randomly generated random matrix.

[0127] First, the scatterplot results of the 2D-DOA estimation of the proposed estimator are given by figure 2 ...

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Abstract

The invention provides a quick estimation method for a two-dimensional direction of arrival of a millimeter wave large-scale multiple input multiple output system. The quick estimation method comprises the following steps: step 1, carrying out space compression sampling on the signal of the receiving array of a multiple input multiple output base station; step 2, performing covariance decomposition to obtain a signal subspace; and step 3, carrying out two-dimensional direction of arrival estimation.

Description

technical field [0001] The invention relates to a method for quickly estimating the two-dimensional angle of arrival of a millimeter-wave large-scale multiple-input multiple-output system. Background technique [0002] Sensor arrays are one of the most important infrastructures in 5G / 6G networks, and are the basic components of transmission, positioning and perception. Estimation of angle of arrival (DOA) from sensor arrays is a well-known nonlinear problem. At present, many algorithms have been used to solve this problem. For example, rotational time invariant techniques (ESPRIT), maximum likelihood estimation (ML), multiple signal classification (MUSIC). In general, spectral search methods, such as MUSIC and ML, tend to be inefficient. In addition, it is difficult for them to avoid the Off-grid problem (Z.Yang, L.Xie and C.Zhang, "Off-grid direction of arrival estimation using sparse Bayesian inference," IEEE Trans. Signal Process., vol.61, no.1 , pp.38-43, Jan.1, 2013...

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Application Information

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IPC IPC(8): G01S3/14
CPCG01S3/14
Inventor 龚亚琦陈江文方青
Owner CHINA THREE GORGES UNIV
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