Fast Estimation Method of Two-dimensional Direction of Arrival Based on Coprime Area Array

Abstract

The invention belongs to the array signal processing technical field and relates to a co-prime area array-based two-dimensional direction of arrival quick estimation method. The co-prime area array-based two-dimensional direction of arrival quick estimation method includes the following steps that: of: array manifold matrixes are constructed on the basis of an x-axis and a y-axis respectively according to a co-prime area array model, two uniform sparse area arrays are combined so as to form the co-prime area array model; the covariance matrixes of the received signals of the sub-arrays are solved, the propagation operator matrixes of the arrays are constructed on the basis of the x-axis and the y-axis; a PM (Propagator Method) is adopted to solve the twiddle factor matrixes of the sub-arrays along the x-axis and y-axis on the basis of block processing performed on the array manifolds; and angle ambiguity is eliminated through using the co-prime theory of planar arrays, and the azimuthsand pitch angles of the arrays are solved. With the method of the invention adopted, low-complexity, high-precision and fuzzy-free joint estimation of the pitch angles and azimuth angles under the co-prime area array model can be realized.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, in particular to a two-dimensional direction-of-arrival fast estimation method based on a coprime surface array. Background technique [0002] Two-dimensional direction-of-arrival estimation (direction-of-arrival, DOA) is a key technology to obtain target signal position information, which is widely used in radar, sonar, radio astronomy and other aspects. The two-dimensional direction of arrival estimation technology based on array signal processing is a passive positioning technology, which can obtain the azimuth and elevation angle of the target signal without transmitting test signals and without solving the prior information of the transmitted signals. At present, the two-dimensional DOA estimation technology based on the array mainly adopts three types of arrays, namely: L-shaped array, circular array and planar square array (abbreviated as area array). The direction-of-arri...

AI Technical Summary

Problems solved by technology

The two-dimensional estimation algorithm of the uniform surface array is adopted, among which the MUSIC method has high estimation accuracy and belongs to unbiased estimation, but the calculation complexity is high; the two-dimensional Capon algorithm and the two-dimensional ESPRIT algorithm sacrifice a small amount of precision on the basis of the model of the MUSIC algorithm. Reduce the computational complexity, but the angular resolution of the two-dimensional Capon algorithm is low, and the two-dimensional ESPRIT algorithm requires multiple subspace decompositions. When the number of samples is large, the computational complexity is still high, and the accuracy cannot be guaranteed

Traditional non-sparse uniform arrays are limited by factors such as antenna size and mutual coupling effects between array elements, resulting in low estimation accuracy and angular resolution

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