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DOA estimation method based on DFT under nested array

A technology of DOA and nested array, applied in radio wave measurement systems, instruments, etc., can solve the problems of reducing degrees of freedom and high complexity, and achieve the effect of low complexity and good DOA estimation performance

Inactive Publication Date: 2017-12-22
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

The angle estimation algorithm based on compressed sensing utilizes the complete degree of freedom of the nested array, and its angle estimation performance is good but the complexity is high; while the spatial smoothing method, such as the multiple signal classification (MUSIC) based on spatial smoothing and the use of rotation Invariance for parameter estimation (Estimating Signal Parameters via Rotational Invariance Techniques, ESPRIT) two methods can only be used for uniform linear arrays, and will significantly reduce the degree of freedom

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  • DOA estimation method based on DFT under nested array
  • DOA estimation method based on DFT under nested array
  • DOA estimation method based on DFT under nested array

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Embodiment Construction

[0024] Embodiments of the invention are described in detail below, examples of which are illustrated in the accompanying drawings. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0025] The second-level nested array consists of two linear subarrays, such as figure 1 shown. The number of elements of the first-level linear sub-array is M 1 , and the array element spacing is d 1 =λ / 2; the number of array elements of the second-level linear sub-array is M 2 , and the array element spacing is d 2 =(M 1 +1) d 1 , where λ is the wavelength. The spacing between the two subarrays is d 1 , the total number of array elements is M=M 1 +M 2 . The position of each array element of this nested array is:

[0026] L s ={md 1 |m=0,1,...,M 1 -1}∪{M 1 d 1 +nd 2 |n=0,1,...,M 2 -1}.

[0027] Without loss of generality, assume that M is an even numb...

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Abstract

The invention discloses a DOA (Direction of Arrival) estimation method based on a DFT (Discrete Fourier Transform) under a nested array, which belongs to the field of array signal processing. First, a receiving data covariance matrix is vectorized to get receiving data with the number of array elements expanded. Then, the initial DOA is estimated through a DFT method. Finally, the precise DOA is estimated by searching for the optimal phase shift in a very small area. The method of the invention has better DOA estimation performance, a complete degree of freedom and lower complexity.

Description

technical field [0001] The invention relates to a direction of arrival (Direction of Arrival, DOA) estimation method based on discrete Fourier transform (Discrete Fourier Transform, DFT) under nested arrays, belonging to the field of array signal processing. Background technique [0002] With the development of array signal processing technology, scholars have proposed a non-uniform nested array structure, and proved that the degrees of freedom of nested arrays with P sensors can reach O(P 2 ). The angle estimation algorithm based on compressed sensing utilizes the complete degree of freedom of the nested array, and its angle estimation performance is good but the complexity is high; while the spatial smoothing method, such as the multiple signal classification (MUSIC) based on spatial smoothing and the use of rotation Invariance parameter estimation (Estimating Signal Parameters via Rotational Invariance Techniques, ESPRIT) The two methods can only be used for uniform line...

Claims

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Application Information

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IPC IPC(8): G01S7/292
CPCG01S7/2923
Inventor 时娜郑旺张小飞徐乐孙友李竟铭施展
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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