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Vandermonde decomposition-based coprime array direction of arrival estimation method

A direction of arrival estimation and array technology, applied in the field of signal processing, can solve problems that cannot be used to represent signal power, growth, and precision-limited grid density

Active Publication Date: 2017-10-24
ZHEJIANG UNIV
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Problems solved by technology

However, existing methods based on equivalent virtual signals usually need to design optimization problems by setting predefined grid points for DOA estimation
Since the actual direction of arrival of the signal will not be completely located on these predefined grid points, the accuracy of DOA estimation is limited by the grid density
Although the estimation accuracy can be improved by reducing the sampling interval between grids, the densification of grid points will lead to an exponential increase in the computational complexity of the method
In addition, the spectrogram of the existing DOA estimation method is usually a pseudo-spectrum, and the peak response of the DOA estimation direction cannot be used to represent the signal power; in fact, the signal power is also an important parameter to describe the signal source. We hope that the spectrogram can Reflect its power information while estimating the direction of arrival

Method used

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example 1

[0095]Simulation example 1: The method for estimating DOA of coprime arrays based on Vandermonde decomposition proposed by the present invention will be compared with the existing method for estimating DOA of coprime arrays based on signal sparse reconstruction, and the method of coprime array DOA estimation based on multiple signal subspace classification The DOA estimation method and the coprime array DOA estimation method based on virtual array interpolation are compared in spatial spectrograms to illustrate the advantages of the method of the present invention in terms of power spectrum characteristics and power estimation. Since the number of incident signal sources is greater than the number of antenna elements in the simulation conditions, the degree of freedom of the uniform linear array method is limited and effective DOA estimation cannot be achieved, so no comparison is made here. Assume that the number of incident narrow-band signals is 15, and the incident directio...

example 2

[0096] Simulation example 2: The method for estimating direction of arrival of coprime arrays based on Vandermonde decomposition proposed by the present invention will be compared with the existing method for estimating direction of arrival of coprime arrays based on signal sparse reconstruction, and the method of coprime arrays based on multi-signal subspace classification The root mean square error is compared between the DOA estimation method and the coprime array DOA estimation method based on virtual array interpolation. The incident signal direction in each Monte Carlo experiment is generated by a random standard normal distribution, and the root mean square error (RMSE) is calculated as

[0097]

[0098] in, and θ q Indicates the estimated and true values ​​of DOA in each Monte Carlo experiment. For each set of parameter values, the number of Monte Carlo experiments is Q=500. Figure 6 It is the relationship curve diagram between root mean square error and SNR, a...

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Abstract

The present invention discloses a Vandermonde decomposition-based coprime array direction of arrival estimation method. The invention aims to solve the problem that degree-of-freedom performance is limited, and the problem of high computational complexity in the prior art. The implementation process of the method includes the following steps that: a receiving antenna is constructed into a coprime array structure; the coprime array is utilized to receive incident signals and perform modeling; equivalent virtual signals corresponding to the signals received by the coprime array are calculated; a virtual array covariance matrix is constructed; de-noising processing is performed on the virtual array covariance matrix; uniqueness Vandermonde decomposition is performed on the de-noised virtual array covariance matrix; and parameters which are obtained through the Vandermonde decomposition are made to correspond to theoretical values, so that direction of arrival and power estimation results can be obtained. According to the Vandermonde decomposition-based coprime array direction of arrival estimation method of the invention adopted, the coprime array is fully utilized, so that degree-of-freedom performance can be improved; according to the Vandermonde decomposition, grid points are not required to be preset, and therefore, computational complexity can be decreased, and at the same time, the degree of freedom of the direction of arrival estimation method can be increased. The direction of arrival estimation method can be applied to passive positioning and target detection.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to estimation of the direction of arrival of radar signals, acoustic signals and electromagnetic signals, specifically a method for estimation of the direction of arrival of a coprime array based on Vandermonde decomposition, which can be used for passive positioning and target detection . Background technique [0002] Direction-of-Arrival (DOA) estimation is an important branch in the field of array signal processing. It refers to the use of array antennas to receive airspace signals and process the received signals through statistical signal processing techniques and various optimization methods. To restore the DOA information contained in the signal, it has a wide range of applications in radar, sonar, voice, wireless communication and other fields. [0003] The degree of freedom of the DOA estimation method refers to the number of incident signal sources t...

Claims

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Application Information

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IPC IPC(8): G01S3/00G01S3/14G01S3/782
CPCG01S3/00G01S3/14G01S3/782
Inventor 周成伟史治国陈积明沈一帆樊星
Owner ZHEJIANG UNIV
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