Two-dimensional arrival direction testing method based on wave beam space conversion

Abstract

The invention discloses a two-dimensional arrival direction testing method based on wave beam space conversion, and is applicable to a method for testing a non-coherent signal two-dimensional arrival direction of a large-scale MIMO system. The two-dimensional arrival direction testing method comprises the following steps: setting a uniform matrix array with M antennas, and performing wave beam space conversion on received data; establishing a covariance matrix of a conversion vector; acquiring a signal sub-space through the covariance matrix; acquiring a corresponding generalized selection signal sub-space according to characteristics of wave beam space conversion and an array structure; then, acquiring a rotation matrix; and finally, respectively confirming a pitch angle and an azimuth angle of a signal source. The two-dimensional arrival direction testing method has relatively small testing errors in a large-scale MINO scene, and non-linear optimization and angle search are avoided. Therefore, the two-dimensional arrival direction testing method has the advantages of being high in precision, low in data processing complexity and the like, and the performance and practical values of the system can be effectively improved when the two-dimensional arrival direction testing method is applied to the large-scale MIMO system.

Description

technical field [0001] The invention belongs to the technical field of wireless mobile communication, in particular to a method for measuring the two-dimensional angle of arrival (Direction of Arrival, referred to as DOA) of an incoherent signal by using a large-scale array antenna. Background technique [0002] With the development of mobile communication technology, especially the recent development of the fourth generation mobile communication system (4G), people have higher and higher requirements for communication speed and quality, and the demand for communication services is increasing. In the fourth-generation mobile communication system, the utilization rate of the spectrum has been greatly improved, mainly due to the multiple-input multiple-output (MIMO) antenna technology. However, with the increase of business volume, the traditional MIMO array has gradually been unable to meet the demand of increasing transmission rate. Coupled with the exploration of the fifth...

AI Technical Summary

Problems solved by technology

However, most of the existing algorithms require one-dimensional or two-dimensional spectral search, and sometimes multi-dimensional nonlinear optimization is set, resulting in relatively high data processing complexity, and it is difficult to achieve real-time DOA estimation

For massive MIMO systems, the number of antennas is very large, and the complexity of traditional algorithms is unbearable

On the other hand, although there are low-complexity algorithms based on propagation operators, due to their low estimation accuracy, they are generally used for DOA estimation or scenarios that do not require high DOA estimation accuracy.

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