Arbitrary array coherent source direction finding method under impact noise

Abstract

The invention discloses an arbitrary array coherent source direction finding method under impact noise. The method comprises the following steps: establishing a sampling signal model; constructing a real array dynamic random weighting low-order covariance matrix; defining an interpolation transformation matrix T, and constructing a virtual array covariance matrix; obtaining a data covariance matrix and a noise covariance matrix after forward and backward space smoothing correction, and performing pre-whitening processing to obtain a dynamic random weighted low-order covariance matrix; estimating the number of information sources, performing feature decomposition on the dynamic random weighting covariance matrix, and determining a signal subspace and a noise subspace; constructing a spectrum estimation formula of a dynamic random weighted low-order covariance-spatial smoothing-MUSIC direction finding method, carrying out spectrum peak searching, finding the angle corresponding to the maximum value point, and outputting any array coherent source direction finding result. According to the method, the signal source incoming wave direction of any array can be effectively estimated, direction finding can be carried out under Gaussian noise, weak impact noise and strong impact noise, the decoherence performance is excellent, and the application range is wide.

Description

technical field [0001] The present invention proposes an arbitrary array coherent source direction finding method under impact noise, in particular, an arbitrary array coherent source direction finding method based on dynamic random weighted low-order covariance under impact noise environment, which involves array signal processing field. Background technique [0002] Direction of Arrival (DOA) estimation, also known as direction of arrival (DOA), has always been a hot topic in the field of array signal processing, and has been widely used in communication, radar and sonar systems. Most current direction finding methods are based on equidistant uniform linear arrays, mainly because equidistant uniform linear arrays have the form of a Vandermonde matrix, which facilitates mathematical processing. It is precisely because of the special array structure of the equidistant uniform linear array that most direction finding methods can only be realized under this condition, such as...

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Problems solved by technology

However, this method is only suitable for independent signals of arbitrary arrays under Gaussian noise, and cannot achieve DOA estimation of coherent signals, and direction finding fails under the background of impact noise.

In "Journal of Harbin Engineering University" (2013, Vol.34, No.4, pp.517-523), An Chunlian et al. proposed a signal The subspace measurement model is used in the case where independent signals and coherent signals exist at the same time, and the direction finding of arbitrary arrays is realized, but this method cannot effectively find direction in the background of impact noise

[0006] The existing literature shows that the virtual transformation from an arbitrary array to a uniform linear array or uniform circular array can be realized by using interpolation technology, but so far there is no effective method to realize the direction finding of an arbitrary array coherent source under the background of impact noise, so it is necessary to design a A Coherent Source Direction Finding Method for High-Performance Arbitrary Arrays Applicable to Impulsive Noise Backgrounds

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