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A Sum-Difference Algorithm for AOA Detection of Mobile Sensor Array

A technology of mobile sensors and arrays, applied in instruments, radio wave measurement systems, etc., can solve the problems of inability to accurately estimate AOA and low estimation accuracy, achieve the effect of overcoming the limitations of array structure requirements and improving estimation accuracy

Inactive Publication Date: 2017-05-17
NORTHWEST UNIV
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AI Technical Summary

Problems solved by technology

[0005] As one of the better methods, because ESPRIT has specific requirements for the array structure, and the estimation accuracy is not high under low signal-to-noise ratio
, resulting in the inability to accurately estimate the AOA

Method used

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  • A Sum-Difference Algorithm for AOA Detection of Mobile Sensor Array

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Embodiment 1

[0049] The present invention provides a sum-difference algorithm for AOA detection of a mobile sensor array. The sum-difference algorithm for AOA detection of a mobile sensor array includes:

[0050] Step 1, deploy the signal receiving array.

[0051] Step 2, signal reception is performed through the signal receiving array at a preset time, and the received signal is x 1 、x 2 ,...,x k , where k are different receiving moments.

[0052] Step 3, according to the received signal, determine the received data and x at the first K moments ΣK , the first (n-1) K moments receive data and x Σ(n-1)K , correct the data received at the first (n-1) K times and correct them, and obtain the corrected data and x at the first (n-1) K times after correction Σ(n-1)K '.

[0053] Step 4: Obtain the received data at the nKth moment, and then obtain the corrected correction data at the nKth moment, and combine the correction data at the first K moments with x ΣK ’ to get the corrected sample ...

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Abstract

The invention discloses a sum-and-difference algorithm for mobile sensor array AOA detection, and belongs to the field of radar technology. The invention includes deploying a signal receiving array, and by moving the signal receiving array, receiving signals at different times during the movement, forming two matrices respectively according to the different receiving times, merging the two matrices and then forming the characteristic The rotation invariant factor is obtained by value decomposition, and the rotation invariant factor is inversely solved to obtain the pitch angle and azimuth angle of the signal source relative to the signal receiving array. Compared with the existing technology, it can make full use of the received data information, improve the estimation accuracy of the signal source angle, and can also overcome the limitations of the traditional ESPRIT method on the array structure requirements and the shortcomings of low accuracy under low signal-to-noise ratio. .

Description

technical field [0001] The invention belongs to the radio field, in particular to a sum-difference algorithm for AOA detection of a mobile sensor array. Background technique [0002] In the field of radar, determining AOA (Angle of Arrival, direction of arrival) has always been an important subject of research. [0003] In the existing technology, the commonly used methods are maximum likelihood, MUSIC (Multiple Signal Classification, multiple signal classification) and ESPRIT (Estimating Signal Parameters via Rotational Invariance Techniques, estimating signal parameters with the help of rotation invariant technique) methods, where ESPRIT calculates the closed By using the solution method, two important parameters of the azimuth and elevation angle of the source can be obtained, so as to complete the estimation of AOA. It is not necessary to search for spectral peaks like the maximum likelihood and MUSIC methods, which can significantly reduce the related data. amount of c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/02
CPCG01S7/021
Inventor 聂卫科徐楷杰解虎李进冯大政
Owner NORTHWEST UNIV
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