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One-sided Sparse Nested Array Design Method for One-dimensional Array Direction Finding

A design method and technology of nested arrays, which are applied in directions such as direction finder, direction finder using electromagnetic waves, direction finder using radio waves, etc., to facilitate theoretical design and practical engineering applications, reduce operating costs, and improve The effect of the number of probes

Active Publication Date: 2021-08-03
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these nested structures have significantly improved the degree of freedom of the array, compared with the minimum redundant array, there is still a lot of room for improvement in the degree of freedom

Method used

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  • One-sided Sparse Nested Array Design Method for One-dimensional Array Direction Finding
  • One-sided Sparse Nested Array Design Method for One-dimensional Array Direction Finding
  • One-sided Sparse Nested Array Design Method for One-dimensional Array Direction Finding

Examples

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Effect test

example 1

[0048] Simulation example 1: Set the total number of array elements N=13 unchanged, basic nested array (Nested Array, NA), augmented nested array (Augmented Nested Array, ANAI2), improved nested array (Improved Nested Array, INA) , maximum interval limit nested array (Maximum Inter-element Spacing Constraint, MISC) and unilateral sparse nested array (One-side Sparse Nested Array, OS-SNA) of the present invention middle large interval uniform line array element interval Take it as N 1 +1=12, the number of array elements is taken as N 2 =1. This example uses the theoretical optimal array MRA as a reference. According to the analytical expressions of the above nested arrays, their normalized array element positions (omitting the spacing unit d) can be obtained as

[0049]

[0050] Assume that there are 23 uncorrelated information sources incident on the above sparse array in space, and the incident angles are evenly distributed between -30° and 30°. The signal-to-noise rat...

example 2

[0051] Simulation example 2: Set the total number of array elements to 14, N 1 =11,N 2 =2. The normalized array element positions of the six sparse structures are

[0052]

[0053] Assume that 11 uncorrelated signals are incident on the above six sparse structures, and the incident angles are uniformly distributed between -60° and 60°. Implement 200 Monte Carlo experiments, and estimate the root-mean-square error (Root-mean-square Error, RMSE) with the incident signal signal-to-noise ratio (Signal to noise ratio, SNR) when the number of snapshots is 2000. The curves are plotted in Fig. 4(a). The curve of RMSE changing with the number of snapshots is plotted in Fig. 4(b), and the signal-to-noise ratio is set to 10dB at this time. It can be seen from the figure that the OS-SNA proposed by the present invention has the closest estimation error to MRA, and is lower than the RMSE results of the other four structures. This is because for the above six sparse structures, the ...

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Abstract

The invention discloses a unilateral sparse nested array design method for direction finding of a one-dimensional array. By sparsely arranging the sub-arrays on the left and right sides of a three-segment nested array, the covariance recovery algorithm can be used to achieve equivalent To generate a differential virtual array with a long continuous segment, the implementation steps are: calculate the basic unit of array element spacing, determine the array element spacing, number of array elements, and array element interval parameters of the middle uniform line subarray, determine the relative position of the array elements, and set The relative position is converted to the absolute position of the array element. The invention can effectively increase the degree of freedom of the differential virtual array under the condition of the same number of array elements, improve the estimation accuracy of the direction of arrival, improve the space target detection capability, and reduce the operating cost of the array.

Description

technical field [0001] The invention belongs to the field of array signal processing, and in particular relates to a sparse array design method, in particular to a nested array-based free degree expansion structure, which can be used for phased array radar detection and orientation estimation of space multi-targets. Background technique [0002] Array signal processing technology has important application value in radar, communication, navigation and many other fields. As an important branch in the field of array signal processing, DOA estimation provides an important technical means for space target detection and azimuth estimation. Traditional direction of arrival estimation uses traditional phased array sensors. The characteristic of this type of phased array is that the array element spacing is less than or equal to half a wavelength, and the array elements are evenly arranged. This uniform arrangement ensures that the signal has a unique spatial spectrum form, no alia...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S3/14G01S3/782G01S3/802
CPCG01S3/143G01S3/782G01S3/802
Inventor 任仕伟高巍董文涛
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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