A Multiple Signal Classification Method Based on Sigmoid Covariance Matrix

A technology of multiple signal classification and covariance matrix, which is applied in the field of array signal processing, can solve the problems of performance deterioration and failure of multiple signal classification algorithms, and achieve the effect of good algorithm performance and good application prospects
CN105913044BActive Publication Date: 2019-05-24DALIAN UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DALIAN UNIV OF TECH
Publication Date
2019-05-24

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Abstract

The invention belongs to the technical field of array signal processing and provides a multiple signal classification method based on a Sigmoid covariance matrix. This method has a strong ability to suppress impulsive noise that obeys non-Gaussian distribution, and can realize multiple signal classification under the impulsive noise condition, and estimate the direction of arrival of each signal; including: 1) According to the noise-containing The median of the signal amplitude estimates the parameters of the Sigmoid function; 2) uses the Sigmoid function and the output vector of the uniform linear array to estimate the Sigmoid covariance matrix output by the array; 3) performs eigenvalue decomposition on the Sigmoid covariance matrix to obtain the noise sub- Space estimation: use the noise subspace to estimate the spatial spectrum for multiple signal classification, and use the estimated value of the spatial spectrum to estimate the direction of arrival angle. The algorithm of the invention has good performance and has good application prospect in real engineering applications.
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Description

technical field

[0001] The invention belongs to the technical field of array signal processing, and relates to multiple signal classification and direction of arrival estimation methods under non-Gaussian noise conditions, in particular to a method for multiple signal classification and direction of arrival estimation based on a Sigmoid covariance matrix. Background technique

[0002] Array signal processing technology is one of the theories in the field of signal processing. Since the multiple signal classification (Multiple Signal Classification, MUSIC) algorithm, which can classify multiple signals and estimate the direction of arrival, has been proposed, this algorithm has become an important part of array signal processing space spectrum. The iconic algorithm in the estimation theory system is also widely used in many military and national economic fields such as radar, communication, and sonar.

[0003] Traditional multiple signal classification algorithms are mainly a...

Claims

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