Compressed sensing DOA estimation method based on unknown mutual coupling information in nested array

A compressed sensing, nested array technology, applied in direction finders using radio waves, radio wave direction/bias determination systems, etc., and can solve problems such as estimation performance degradation

Active Publication Date: 2017-12-08
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0007] The purpose of the present invention is to propose a compressed sensing DOA estimation method based on unknown mutual coupling information under nested arrays

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  • Compressed sensing DOA estimation method based on unknown mutual coupling information in nested array
  • Compressed sensing DOA estimation method based on unknown mutual coupling information in nested array

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[0082] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the implementation methods and accompanying drawings.

[0083] see figure 1 , the implementation process of the compressed sensing DOA estimation method based on unknown mutual coupling information under the nested matrix of the present invention is:

[0084] (1) Calculate the autocorrelation matrix of the received signal, and use the data covariance matrix as its estimated value;

[0085] (2) Vectorization processing, constructing a virtual array equivalent to a single snapshot to receive data, that is, performing vectorization processing on the obtained autocorrelation matrix, and obtaining the vectorization processing result z;

[0086] (3) Build an optimization problem model:

[0087] in P is the block representation result of the incident signal, Indicates the noise power, vecto...

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Abstract

The invention discloses a compressed sensing DOA estimation method based on unknown mutual coupling information in a nested array. The method includes the steps of calculating an autocorrelation matrix of received signals of a nested array; performing vectorization processing on the obtained autocorrelation matrix; constructing an optimization problem model based on the obtained vectorization result; evenly dividing the space and constructing a complete dictionary set; substituting the complete dictionary set into the optimization problem model and solving to obtain a DOA estimation blocking result; and calculating a DOA estimation result based on the DOA estimation blocking result. The method of the invention is used for DOA estimation of the nested array in the presence of a mutual coupling effect, and can effectively solve the problem that the estimation performance is seriously degraded due to the mismatch of the DOA estimation model. The method of the invention does not need the mutual coupling information and has the advantages of high degree of freedom and excellent resolution performance, and is capable of processing more incident signals than the number of physical elements.

Description

technical field [0001] The invention relates to a direction of arrival estimation technology in the field of array signal processing, in particular to a compressed sensing DOA estimation method based on unknown mutual coupling information under a nested array. Background technique [0002] Direction-of-arrival (DOA) estimation of signals is an important part of the field of array signal processing. It refers to the use of antenna arrays to sense and receive spatial acoustic signals and electromagnetic signals, and then use modern signal processing methods to quickly and accurately Estimating the incident direction of the signal source has important application value in radar, sonar, wireless communication and other fields. With the continuous advancement of science and technology, there are higher and higher requirements for the degree of freedom that the array can achieve when estimating the signal direction of arrival. [0003] In signal DOA estimation processing, the MUS...

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Application Information

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IPC IPC(8): G01S3/14
CPCG01S3/14
Inventor 谢菊兰干鹏罗紫惠杨雪何子述
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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