DOA estimation method for coherent signal source in augmented co-prime array impulse noise environment

Abstract

The invention discloses a direction-of-arrival (DOA) estimation method for a coherent signal source in an augmented co-prime array high-pulse environment, and the method comprises the steps: receiving a signal through an augmented co-prime array antenna, and obtaining measurement information; calculating a corresponding fractional low-order moment estimation matrix and a corresponding phase fractional low-order moment estimation covariance matrix according to the measurement information; carrying out vectorization processing on the obtained estimated covariance matrix, deleting redundant rows, and intercepting continuous array element parts to obtain virtual uniform linear array received signal information with the array element interval being lambda / 2; carrying out Toeplitz matrix reconstruction on the virtual received signal information to obtain a reconstructed covariance matrix; and calculating the accurate estimation of the covariance matrix DOA after repetition by using an SIC DOA estimation algorithm. According to the method, the FLOM estimation matrix and the PFLOM estimation matrix are combined with the co-prime array coherent signal source DOA estimation problem in the impulse noise environment, and better DOA estimation performance can be obtained in the impulse noise low signal-to-noise ratio environment.

Description

technical field [0001] The invention belongs to the technical fields of direction of arrival (DOA) estimation, aerial surveillance, radar sonar positioning and the like. Background technique [0002] Traditional DOA estimation methods, such as MUSIC and ESPRIT, use N array elements to estimate at most N-1 sources, and the spatial degree of freedom is small. At the same time, in order to avoid the angle ambiguity problem, the traditional array spacing usually needs to be less than half of the wavelength of the received signal, that is, d<λ / 2. However, if the distance between the array elements is too close, there will be a strong mutual coupling effect, which will reduce the estimation accuracy. Therefore, the optimal design and performance analysis of such arrays is generally not easy. [0003] In order to solve the above problems, recently, the augmented coprime array obtained by using two parallel uniform linear arrays with coprime numbers of array elements and overla...

AI Technical Summary

Problems solved by technology

Since the signal array will receive coherent signals in different directions, and the coherent signals will cause the rank deficiency of the source covariance matrix, so that the signal eigenvectors will diverge into the noise subspace

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