Partial sparse L array and two-dimensional DOA estimation method thereof

Abstract

The invention discloses a partial sparse L array and a two-dimensional DOA estimation method thereof. Two subarrays for the L array, the array element interval of the first subarray is half of a wavelength, and the array element interval of the second subarray is n times of the wavelength; and an auxiliary array element distanced half of the wavelength away from a reference array element is arranged on the second subarray. During DOA estimation processing, the subarrays are respectively placed on an x axis and a z axis, and by use of a feature that a cross-correlation matrix is not affected by noise, cross correlation of receiving data is solved, and a signal subspace is extracted; by use of translation invariability of a ULA and the signal subspace, a rotation matrix of a z-axis array flow type matrix is solved, possible pitch angle estimation values are obtained by performing feature value decomposition on the rotation matrix, and then defuzzificaiton processing is performed on estimation results based on the auxiliary array element; and then based on this, a source waveform and an x-axis array flow type matrix are estimated, and corresponding azimuths are solved. The partial sparse L array and the two-dimensional DOA estimation method thereof are applied to radar, sonar and the like, and have the advantages of low realization cost, low computation quantity and high direction finding precision.

Description

technical field [0001] The invention belongs to the technical field of wireless mobile communication, and in particular relates to a partially sparse L array constructed by a linear array and a two-dimensional direction of arrival (DOA) estimation method thereof. Background technique [0002] Space-division multiple access technology is another key technology that can improve network capacity after time-division multiplexing, frequency-division multiplexing, and code-division multiplexing. The key to space-division multiple access is to accurately measure the signal source azimuth and form a highly directional beam. Therefore, the array signal processing technology with DOA estimation and digital beamforming as the core has received more and more research and attention from researchers. [0003] Most of the existing DOA estimation algorithms are based on the traditional full array, that is, the antenna array in which the distance between adjacent elements in the array is not...

AI Technical Summary

Problems solved by technology

However, most of the existing L-arrays are composed of conventional ULA (Uniform Linear Array), and there are relatively few L-arrays composed of sparse linear arrays. When dimensioning DOA, either a pairing algorithm is required, or a spectral peak search is required, and the advantages of sparse arrays cannot be fully utilized

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