Method and device for estimating direction of arrival

Abstract

The embodiment of the invention provides a direction-of-arrival estimation method and device. Electronic equipment acquires signals emitted by signal sources received by a first x-axle antenna sub-array, a first y-axle antenna sub-array, a second x-axle antenna sub-array and a second y-axle antenna sub-array, the signals are overlapped and integrated to acquire various signals, thereby obtaining an entire signal received by two L-shaped antenna arrays, determining a covariance matrix of the entire signal, performing feature value decomposition on the covariance matrix and obtaining an entire noise sub-space; the elements of the front N1+N2 lines and the front N1+N2 rows of the covariance matrix are extracted as the x-axle covariance matrix; the feature value decomposition is performed on the x-axle covariance matrix to obtain the x-axle noise sub-space. The DOA of the receiving signal is estimated according to the x-axle noise sub-space and the entire noise sub-space. Through the technical scheme provided by the embodiment of the invention, the covariance information of the x-axle receiving signal is sufficiently utilized, the precision of the DOA estimation is improved, thereby more satisfying the demand of the actual application scene.

Description

technical field [0001] The present invention relates to the technical field of signal processing, in particular to a method and device for estimating a direction of arrival. Background technique [0002] DOA (Direction of Arrival) positioning technology refers to obtaining the direction of arrival of the signal by processing the received signal, and then estimating the distance information and orientation information of the signal source. At present, DOA estimation algorithms mainly include: multiple signal classification (MUSIC) algorithm for uniform linear antenna array and traditional two-dimensional MUSIC algorithm for uniform rectangular antenna array. For the traditional reciprocal L-shaped antenna array located on the x-axis and y-axis, it can be expanded along the x-axis and y-axis to obtain an expanded reciprocal L-shaped antenna array, and the complexity-reduced MUSIC (RC-MUSIC) algorithm is used to replace the traditional The two-dimensional MUSIC algorithm perfo...

AI Technical Summary

Problems solved by technology

However, this does not fully utilize the covariance information of the received signal of the array on the x-axis, so the obtained noise subspace is not accurate enough, so when using this noise subspace for DOA estimation, it will bring a large error

Therefore, the estimation accuracy of the current RC-MUSIC algorithm cannot meet the practical application and needs to be improved

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