DOA estimation method based on DFT enhancement in large-scale array

Abstract

A DOA estimation method based on DFT enhancement in a large-scale array obtains accurate estimation of DOA through combination of DFT and a Taylor expansion algorithm, and comprises the following steps: firstly, for a space signal received by a large-scale antenna array, obtaining initial DOA estimation of the signal through DFT; then, on the basis of obtaining the initial angle, carrying out first-order Taylor series expansion on the array direction matrix at the initial angle, and obtaining a difference value between a real signal angle and the initial angle by utilizing an overall least square method; and finally, adding the difference value to the initial angle to obtain an accurate DOA estimation angle. According to the invention, the characteristics of DFT, Taylor series expansion and large-scale antenna array are ingeniously combined; the technical bottleneck that a traditional subspace algorithm needs huge complexity and is not easy to apply practically when applied to a large-scale antenna array is broken through, the target signal angle can be estimated more quickly and accurately, the operation cost is low, the effect is good, and engineering implementation is easy.

Description

technical field [0001] The invention belongs to the technical field of large-scale antenna direction finding, and in particular relates to a DOA estimation method based on DFT enhancement in a large-scale array. Background technique [0002] Massive multi-input multi-output (Massive MIMO) technology will be an important physical layer technology of the fifth generation wireless communication system (Fifth Generation, 5G). In the Massive MIMO wireless communication system, the base station will use a large-scale array composed of hundreds of antennas. [0003] When using large-scale antenna arrays for Direction of arrival (DOA) estimation, conventional subspace-based DOA estimation algorithms, such as multiple signal classification (Multiple signal classification, MUSIC), use rotation-invariant parameter estimation (Estimation of signal parameter viarotational invariance, ESPRIT), which is limited because of its high computational complexity. First of all, the application o...

AI Technical Summary

Problems solved by technology

Unlike the traditional DFT method that uses phase search to obtain accurate DOA estimation angles, the method of the present invention uses a combination of DFT and Taylor expansion to solve the problem of high complexity in DOA estimation algorithms for large-scale antenna arrays

Images